Electronic Engineering Research Articles

LITERATURE REVIEW ON THE EFFECTIVE USE OF GOOGLE SITE AS AN INTERACTIVE MEDIUM IN ISLAMIC EDUCATION LEARNING

Abstract The current rapid advancement of technology has significantly impacted various aspects of life, including the field of education. This research aims to analyze the use of Google Sites as a medium to enhance student learning outcomes. The method employed is qualitative research with a literature review approach or System Literature Review (SLR). This study aims to compare existing theories with previous theories in the research literature. The literature sources used are derived from research results or studies published in scientific articles, with articles sourced from electronic literature search engines such as Mendeley and Google Scholar. The results of the study indicate that the use of Google Sites as a learning medium in the era of technological advancement can improve student learning outcomes

Transformer Connections: Improving Segmentation in Blurred Near‐Infrared Blood Vessel Image in Different Depth

AbstractHigh‐fidelity segmentation of blood vessels plays a pivotal role in numerous biomedical applications, such as injection assistance, cancer detection, various surgeries, and vein authentication. Near‐infrared (NIR) transillumination imaging is an effective and safe method to visualize the subcutaneous blood vessel network. However, such images are severely blurred because of the light scattering in body tissues. Inspired by the Vision Transformer model, this paper proposes a novel deep learning network known as transformer connection (TRC)‐Unet to capture global blurred and local clear correlations while using multi‐layer attention. Our method mainly consists of two blocks, thereby aiming to remap skip connection information flow and fuse different domain features. Specifically, the TRC extracts global blurred information from multiple layers and suppresses scattering to increase the clarity of vessel features. Transformer feature fusion eliminates the domain gap between the highly semantic feature maps of the convolutional neural network backbone and the adaptive self‐attention maps of TRCs. Benefiting from the long‐range dependencies of transformers, we achieved competitive results in relation to various competing methods on different data sets, including retinal vessel segmentation, simulated blur image segmentation, and real NIR blood vessel image segmentation. Moreover, our method remarkably improved the segmentation results of simulated blur image data sets and a real NIR vessel image data set. The quantitative results of ablation studies and visualizations are also reported to demonstrate the superiority of the TRC‐Unet design. © 2024 The Author(s). IEEJ Transactions on Electrical and Electronic Engineering published by Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.

From Placement Data to Actionable Insights: A Case Study for Improving Placement Outcomes at Institute

This case study investigates placement trends at Deogiri Institute of Engineering and Management Studies (DIEMS) from 2013-14 to 2023-24, focusing on Computer Science and Engineering (CSE), Mechanical Engineering (MECH), Electronics and Telecommunication Engineering (ECE), Civil Engineering (CE), and Master of Business Administration (MBA) programs. The study analyzes placement data, including the number of students placed, salary packages offered, and observations from a provided pie chart showcasing placements for 2023-24. Keywords: Placement trends, employability, curriculum alignment, industry demands, salary packages, courses

EMC Research Efforts in the IEEJ Technical Committee and State‐of‐the‐Art Case Studies on ESD Found in its Technical Papers

Electrostatic discharge (ESD) has been known to cause electromagnetic noise against electronic equipment and devices even before the technical concept of electromagnetic compatibility (EMC) was established 68 years ago in the United States and 48 years ago in Japan, while the ESD still continues to be studied as one of the most significant issues that should be solved in EMC areas. This is largely because the underlying nature of ESD has yet to be essentially elucidated from an EMC perspective. On the other hand, as an academic research organization on EMC in Japan, a Technical Committee named ‘EMCJ’ on ‘Environmental Electromagnetic Engineering’ was founded in 1976 in both the Institute of Electrical Engineers of Japan (IEEJ) and the Institute of Electronics and Communication Engineers or the present IEICE (Institute of Electronics, Information and Communication Engineers) to address EMC concerns. Since then, the EMCJ has been jointly conducting EMC research activities under the IEICE as the nominating body and the IEEJ as the associative body, whereas the EMCJ of IEEJ was dissolved in 1999 to form a new Technical Committee on EMC (TC‐EMC) in order to deal with EMC issues appropriate to the IEEJ. In this review, to mark the 25th anniversary of the IEEJ Technical Committee on EMC (TC‐EMC) in 2024, the EMC research efforts and activities that the TC‐EMC has conducted over the past 25 years from January 2000 to March 2024 are surveyed from 1272 technical papers presented at the technical meetings. Furthermore, among the ESD issues identified in these technical papers, the latest case studies utilizing ‘spark resistance laws’ that allow the analysis of the initial behavior of sparks, in which a spark is the essence of ESD and is the key to open the door to elucidate the phenomenon, particularly from an EMC perspective, are reviewed. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.

Comprehensive Analysis of Influencing Factors on Building Energy Performance and Strategic Insights for Sustainable Development: A Systematic Literature Review

A prerequisite for decreasing the intensification of energy in buildings is to evaluate and understand the influencing factors of building energy performance (BEP). These factors include building envelope features and outdoor climactic conditions, among others. Based on the importance of the influencing factors in the development of the building energy prediction model, various researchers are continuously employing different types of factors based on their popularity in academic literature, without a proper investigation of the most relevant factors, which, in some cases, potentially leads to poor model performance. However, this can be due to the absence of an adequate comprehensive analysis or review of all factors influencing BEP ubiquitously. Therefore, this paper conducts a holistic and comprehensive review of studies that have explored the various factors influencing energy use in residential and commercial buildings. In total, 74 research articles were systematically selected from the Scopus, ScienceDirect, and Institute of Electrical Electronics Engineers (IEEE) databases. Subsequently, by means of a systematic and bibliometric analysis, this paper comprehensively analyzed several important factors influencing BEP. The results reveals the important factors (such as windows and roofs) and engendered or shed light on the application of some energy-efficient strategies such as the utilization of a green roof and photovoltaic (PV) window, among others.

Rapid Synthesis and Microenvironment Optimization of Hierarchical Porous Fe─N─C Catalysts for Enhanced ORR in Microbial Fuel Cells.

Here, an approach to produce a hierarchical porous Fe-N-C@TABOH catalyst with densely accessible high intrinsic active FeNx sites is proposed. The method involves a single-step pyrolysis of Zn/Fe-zeolitic imidazolate framework (Zn/Fe-ZIF-H) with tetrabutylammonium hydroxide (TABOH) micelles, which is obtained by utilizing TABOH as a structural template and electronic mediator at room temperature for a brief duration of 16min. Notably, the yield of Zn/Fe-ZIF-H is 3.5 times that of Zn/Fe-ZIF-N prepared by conventional method. Results indicate that in addition to expediting synthesis and increasing yield of the Zn/Fe-ZIF-H, the TABOH induces a hierarchical porous structure and fosters the formation of more and higher intrinsic active FeNx moieties in Fex-N-C@TABOH, showing that TABOH is a multifunctional template. Crucially, the increased mesoporosity/external surface area and optimized microenvironment of Fe-N-C@TABOH significantly enhance ORR activity by facilitating the formation of high intrinsic active FeNx sites, increasing accessible FeNx sites, and reducing mass transfer resistance. Through structure tailoring and microenvironment optimization, the resulting Fe-N-C@TABOH exhibits superior ORR performance. DFT calculation further validates that the synergistic effect of these two factors leads to low ORR barrier and optimized *OH adsorption energy. This study underscores the importance of structure and electronic engineering in the development of highly active ORR catalysts.

Improvement of AC Conditioning Effect in Vacuum by High Frequency Voltage

To improve the dielectric strength in vacuum, spark conditioning through repetitive breakdowns by AC or impulse voltage is an effective method. AC conditioning at commercial power frequencies has been widely used due to its cost‐effectiveness, but the breakdown voltage after AC conditioning is generally lower compared to impulse conditioning. We have confirmed that multiple breakdowns occur successively in a half cycle of AC voltage application. It is considered that the multiple breakdowns are harmful for conditioning and triggered due to the previous breakdown in the same half cycle. In this paper, we discuss dielectric strength improvement by high frequency AC conditioning and how the multiple breakdowns are induced. We experimentally confirmed that the AC conditioning effect is improved by increasing the frequency of AC voltage for different applied AC conditioning voltages in a sphere‐plane electrode system. We focused on the breakdown position from the light emission images during AC conditioning to investigate whether the multiple breakdowns were induced or affected by the previous breakdown. We found that the multiple breakdowns occurred close to the previous breakdown position. The multiple breakdowns would be induced by the collision of metal particles due to the previous breakdown with the counter electrode. These breakdowns do not contribute to removing protrusion and would lead to damage to the electrode surface. The increasing frequency of AC conditioning would suppress the multiple breakdowns and improve the dielectric strength in vacuum. © 2024 The Author(s). IEEJ Transactions on Electrical and Electronic Engineering published by Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.

Impact of Pericervical Dentin on Fracture Resistance of Endodontically Treated Posterior Permanent Teeth: A Systematic Review and Meta-analysis.

The main aim of this present systematic review is to evaluate if the preservation of pericervical dentin (PCD) increases the fracture resistance of endodontically treated permanent posterior teeth. Two independent reviewers conducted a comprehensive review of all published studies from 2007 (1/1/2007) to 2023 (31/5/23) since the concept of PCD first appeared in the literature in 2007. Searches were conducted in multiple electronic database engines: PubMed, Scopus, EBSCO (Dentistry and oral health sciences), Web of Sciences (WOS), Cochrane, Google Scholar and Open Grey, Ovid and Shodhganga, in addition to cross-references and hand search. Articles were chosen according to a certain inclusion and exclusion criteria, which, in brief, are laboratory-based studies published in English that assess the impact of PCD on fracture resistance of endodontically treated permanent posterior teeth. Using domains, such as sample size, sample dimensions, and control group as quality assessment criteria, evaluated the selected articles and classified them according to their risk of bias into low, moderate, and high. A meta-analysis was conducted using random effects modeling at a significance level of p < 0.05. A total of studies 6,043 were retrieved from 10 different electronic search databases and hand searches, but only 12 laboratory-based studies were selected after removing duplicates and applying the eligibility criteria. Of the included 12 studies, nine studies showed low risk of bias and three studies showed moderate risk of bias. Two studies showed related data for meta-analysis, the difference observed between the two studies is statistically non-significant. Based on the results of the study, there is evidence to support that PCD preservation offers fracture resistance to the endodontically treated posterior teeth. The practice of conservative cavity preparation and avoiding the usage of instruments with high taper increases the fracture resistance of the tooth by retaining the PCD. How to cite this article: Haridoss S, Rajendran M, Swaminathan K, et al. Impact of Pericervical Dentin on Fracture Resistance of Endodontically Treated Posterior Permanent Teeth: A Systematic Review and Meta-analysis. J Contemp Dent Pract 2024;25(4):372-385.

Short-term forecasting of rooftop retrofitted photovoltaic power generation using machine learning

This paper explores short-term forecasting of rooftop retrofitted photovoltaic (PV) power generation using a Neural Networks (NN) model, highlighting its importance for energy management and grid integration. The study used data from the Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA) of the Faculty of Electrical & Electronics Engineering Technology (FTKEE), capturing a 570.4 kWp rooftop PV system. The data, collected at 15-min intervals from January 29 to February 4, 2024, included thirty-three input features such as ambient temperature, horizontal irradiation, AC voltages, AC currents, and Maximum Power Point Trackers (MPPTs). The target was the total active power in kilowatts. The methodology involved partitioning the data into a training set covering the first five days and a testing set for the last two days. The NN model was compared with other machine learning approaches, including Long Short-Term Memory Networks (LSTM), Gated Recurrent Units (GRU), Random Forest (RF), and k-Nearest Neighbors (k-NN). Performance metrics: Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Maximum Error, and Standard Deviation were used to evaluate the models. The results showed that the NN model outperformed all other models, achieving an RMSE of 0.7098, an MAE of 0.3629, a Maximum Error of 3.901, and a Standard Deviation of 0.7076. These findings suggest that NN effectively capture complex patterns in rooftop PV system data, contributing to enhanced reliability and efficiency in short-term solar power forecasting. The study's implications extend to improved grid management and energy efficiency, underlining the significance of advanced machine learning techniques in renewable energy forecasting.

Introducing Green, Eco-Friendly Practices and Circular Economy Principles in Vocational Education Through a Novel Analysis-Synthesis Method: Design, Implementation and Evaluation

Purpose: A novel, Project- and Collaborative Learning-based educational method is proposed, implemented and evaluated in this paper. The aim is to exploit hands-on laboratory modules in Vocational Education in order to experientially introduce students to green, eco-friendly practices and the principles of sustainability and circular economy. Besides their apparent individual and social benefits, such knowledge and skills are also expected to raise qualifications and employability of Vocational Education graduates. Methods: The proposed method is tested through a quasi-experimental methodology, via an educational intervention with a class of Vocational Lyceum students, in the field of Electrical and Electronics Engineering. The learning content focuses on the reclaiming and reuse of operational components from damaged electrical/electronic equipment at end-of-life stage. Through repeated Analysis and Synthesis phases, students learn to extract, measure, classify and reuse operational components either to repair similar equipment or to design and construct novel devices. Results: Evaluation is carried out via closed and open type activities as well as by observation sheets of the teacher. Learning outcomes are evaluated through knowledge post-tests of the closed type while social/emotional outcomes are evaluated through questionnaires. Evaluation results indicate that the proposed method does produce cognitive and social/emotional skills gains for the students. The development of metacognitive skills and the stimulation of imagination and innovative thinking in the students is also observed by the teacher, but not formally evaluated due to practical constraints. Conclusions: The proposed method is implemented and pilot-tested with positive results both as to the cognitive and as to the social/emotional domain – yet, these results are of an indicative value, due to the limited scale of the educational intervention. Future research is necessary in order to evaluate the proposed method in extent and possibly compare results across education grades or engineering fields, as the method is generic enough to be easily adaptable for different ages/grades and engineering/technical fields of study.

2D/2D Schottky-type hybrid heterocatalyst comprising S-doped g-C3N4 and delaminated Ti3C2 MXene: Synergistic interplay of dual strategies for effective H2 generation and pollutant degradation

The quest for sustainable solutions to environmental pollution and energy scarcity has prompted the exploration of advanced photocatalytic materials. This study introduces an efficient 2D/2D Schottky-type hybrid heterocatalyst that combines sulfur-doped 2D g-C3N4 (SCN) with delaminated 2D Ti3C2 (TC) MXene, designed for effective H2 generation and antibiotic pollutant degradation under visible light. This hybrid system leverages the synergistic interplay of two strategies: electronic band structure engineering and conductive TC MXene cocatalyst integration, addressing the critical limitations inherent in g-C3N4. The TC-4/SCN hybrid, with its optimized TC content, exhibits exceptional photocatalytic performance, achieving an H2 production yield of 79.5 μmol over 5 h and an apparent quantum efficiency of 9.2 %. Moreover, this hybrid demonstrates significant effectiveness in degrading and mineralizing the antibiotic levofloxacin, surpassing g-C3N4, SCN, other TC/SCN hybrids, and several advanced photocatalysts previously reported. Detailed characterization and mechanistic investigations attribute the outstanding photocatalytic activity to efficient charge transfer, separation, reduced recombination rates, strong optical absorption, and a large specific surface area, all of which are facilitated by the dual strategies employed in creating the 2D/2D Schottky-type heterojunction. Furthermore, reusability tests confirmed the durability and stability of the TC-4/SCN, highlighting its practical applicability for repeated use in environmental and energy applications.

The Importance of Speaking in English as a Foreign Language between Skillful and Thoughtful Competencies: Studying Sociolinguistics Perspectives

Speaking in a foreign language demands both attentiveness and proficiency in the language itself so that the other person may understand the speech's substance more easily. With the aid of an electronic engine based on Google Scholar data, we undertook a series of data gathering activities to explore the link between competent and mindful English speaking. We want to use this data in a number of international journal articles that address these two factors. Following collection, the data is examined thoroughly as part of a descriptive qualitative research using a coding system. We make sure that the data findings adhere to fair and trustworthy criteria before making any inferences. After discussing the results, we can draw the conclusion that speaking English as a second language calls for careful and competent proficiency in order for the other person to grasp what is being said. This discovery should thus be helpful to many people who are learning English.

Boost DC‐DC Converter with Non‐dissipative Snubber

To provide a hold‐up time function in DC‐DC supplies for cell site stations or data centers, using a boost converter with a bulk output capacitor as a front‐end converter stage is a simple and highly cost‐effective solution. However, conventional boost converters with a hard‐switching operation result in low conversion efficiency and increased electromagnetic interference emissions. In this paper, a boost converter with a new non‐dissipative snubber is proposed that only requires two additional diodes, an inductor, and a multilayer ceramic capacitor. The main feature of the proposed snubber is that the components are not located on the main power processing path. This means they only require low ratings, improving cost‐effectiveness. A prototype converter is analyzed, realized, and applied to a 300 W redundant DC‐DC power supply module for a 5G cell base station. © 2024 The Author(s). IEEJ Transactions on Electrical and Electronic Engineering published by Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.

CFD simulations of MHD effects on mixed convectional flow in a lid-driven square cavity with square cylinder using Casson fluid

Enclosure design significantly impacts thermal engineering processes and devices, including electronic devices, thermal exchangers, power engines, heating systems, solar panels, and nuclear power plants. The square cavity with variable aspect ratios is utilized for multi-objective optimization and improved thermal performance of microchannels. Cold cylinders in square enclosures are often utilized to reduce energy loss in micro heat sinks and heat exchangers. So, article’s main objective is to investigate concurrent characteristics of external and internal forces on a Casson fluid contained in a square cavity with magnetohydrodynamics (MHD). A square cylinder is embedded in the middle of the enclosure, and an inclined magnetic field with angle φ is applied. The upper lid is assumed to be inertially driven by a constant amount of slipping velocity, and a thermal state is disturbed by assuming uniform temperature at the left wall while the right wall and embedded cylinder are cool. The finite element method (FEM) based open-source software renowned as COMSOL Multiphysics is utilized to solve the non-dimensionalized momentum and energy equations. This study uses the square enclosure to study essential factors, such as the Casson parameter β , Hartmann number Ha , Reynolds number Re , and Grashof number Gr . The findings reveal that the kinetic energy at β = 10 is 12.22 times greater than that of β = 0.1 at Ha = 0 . It is observed that Ha , β , and Gr have a direct impact on the local Nusselt number. Fluid kinetic energy increases as Gr increases while it decreases as Re increases. This study shows how obstacles of various shapes and temperature conditions have an essential impact on handling heat transfer characteristics.

Pengembangan Jiwa Wirausaha Lulusan Teknik Elektronika SMK N 1 Bukittinggi Melalui Pembekalan Skill Pembuatan Game dengan Unity

Introduction: The gaming industry offers substantial opportunities for individuals with the right technical and entrepreneurial skills. However, graduates from vocational schools often lack these essential skills. Objective: The purpose of this service was to enhance technical skills in game development using Unity and cultivate entrepreneurial spirit among graduates of the Electronics Engineering Department at SMK N 1 Bukittinggi. Method: This public service was conducted on April 25, 2024, via Google Meet, in collaboration with Institut Teknologi Telkom Purwokerto, Universitas Jambi, and Institut Teknologi dan Bisnis Indobaru Nasional. The program included sessions on the basics of game development, practical game creation using Unity, and entrepreneurship training. Forty students participated. Result: The program significantly improved participants' skills. Understanding of game development theory increased from 30% to 85%, proficiency in using Unity rose from 20% to 80%, and scripting skills in C# improved from 25% to 75%. Knowledge of entrepreneurial concepts increased from 40% to 85%, and business planning skills rose from 25% to 80%. Conclusion: The program successfully enhanced both technical and entrepreneurial skills of Electronics Engineering graduates from SMK N 1 Bukittinggi, preparing them for the creative industry and enabling them to create their own business opportunities. This integrated approach can be applied to other vocational schools to support the growth of the local creative economy.

The Model of “Post, Course, Competition, Certificate” Integrated Education for Electronic Information Engineering Technology Major in Higher Vocational Colleges

The core education function of higher vocational colleges is to train technical talents with high quality, so as to meet the needs of talents in the development stage of our society. Under the guidance of talent training, higher vocational colleges need to pay attention to establishing an all-round and three-dimensional education model, and promote innovation of higher vocational education on the basis of this. It is also a way to promote the innovation of higher vocational education to vigorously promote the construction of “post, course, competition, certificate” mode in the construction of education mode. Through the construction of “post, course, competition, certificate” mode, the education mode of higher vocational colleges is gradually improved, so as to strengthen the effectiveness of talent training in higher vocational colleges. Therefore, in this paper, the author puts forward some suggestions to promote the construction of the integrated education mode of the electronic information engineering technology major in higher vocational colleges, so as to help improve the talent training level of higher vocational colleges.

Corrigendum to: Deep Learning-based Automated Knee Joint Localization in Radiographic Images Using Faster R-CNN.

In the online version of the article, a change was made in the section of author's affiliation. The affiliation of Drs. Sivakumari and Vani in the online version of the article entitled "Deep Learning-based Automated Knee Joint Localization in Radiographic Images Using Faster R-CNN has been updated in "Current Medical Imaging", 2024; 20: e15734056262464 [1]. The original article can be found online at: https:// www.eurekaselect.com/article/135374 Original: T. Sivakumari1 and R. Vani1* 1SRM Institute of Science and Technology, Faculty of Engineering and Technology, Ramapuram, Chennai, Tamil Nadu, India Corrected: T. Sivakumari1 and R. Vani1* 1Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Faculty of Engineering and Technology, Ramapuram, Chennai, Tamil Nadu, India.

Corrigendum to: Performance analysis of Alexnet for Classification of Knee Osteoarthritis.

In the online version of the article, a change was made in the section of author's affiliation. The affiliation of Drs. Sivakumari and Vani in the online version of the article entitled "Performance analysis of Alexnet for Classification of Knee Osteoarthritis has been updated in "Current Medical Imaging", 2024; 20: e090823219574 [1]. The original article can be found online at: https://www.eurekaselect.com/article/133483 Original: T. Sivakumari1 and R. Vani1* 1SRM Institute of Science and Technology, Faculty of Engineering and Technology, Ramapuram, Chennai, Tamil Nadu, India Corrected: T. Sivakumari1 and R. Vani1* 1Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Faculty of Engineering and Technology, Ramapuram, Chennai, Tamil Nadu, India.

The Educational Recommendation System with Artificial Intelligence Chatbot: A Case Study in Thailand

The educational recommendation system with an artificial intelligence (AI) chatbot is a system designed to operate on smartphones and is intended for use at the College of Industrial Technology in Thailand. Compatible with both iOS and Android operating systems, the educational recommendation system in this research is capable of providing educational recommendations and valuable information about the engineering degree program. It includes information about the Electronics Engineering Technology Department, relevant bodies of knowledge that can enhance awareness and public relations, and a proactive introduction to information. The main objectives of this study are to develop the capacity to analyze educational issues and provide useful and accurate information for educational recommendations, as well as to explore the possibilities for enhancing this system. The results of the study address the three research questions and demonstrate that the process and structure of the educational recommendation system with an AI chatbot can be utilized to create educational recommendation tools in higher education. These tools are accessible anywhere and at any time through small mobile devices. The system is also compatible with popular social media applications and is capable of analyzing user questions precisely and accurately to find the optimal answers that can meet the user’s needs. However, there are still gaps in the research that need to be investigated in the future. These studies should include exploring a broader range of applications among the general population and educational settings to assess the effectiveness of the educational recommendation system with an AI chatbot. Additionally, they should examine the skills that impact the utilization of educational technology in various contexts.

Remotely Assessing Motor Function and Activity of the Upper Extremity After Stroke: A Systematic Review of Validity and Clinical Utility of Tele-Assessments

Objective The aim of this systematic review is to identify currently available tele-assessments for motor impairments of the upper extremity in adults after a stroke and to assess their psychometric properties and clinical utility. Data sources We searched for studies describing the psychometric properties of tele-assessments for the motor function of the upper extremity. A systematic search was conducted in the Cumulative Index to Nursing and Allied Health Literature, Medline via OVID, Embase, The Cochrane Library, Scopus, Web of Science and Institute of Electrical and Electronics Engineers Xplore from inception until 30 April 2024. Review methods The quality assessment for the included studies and the rating of the psychometric properties were performed using the COSMIN Risk of Bias Checklist for systematic reviews of patient-reported outcome measures. Results A total of 12 studies (N = 3912) describing 11 tele-assessments met the predefined inclusion criteria. The included assessments were heterogeneous in terms of quality and psychometric properties and risk of bias. None of the tele-assessments currently meets the criteria of clinical utility to be recommended for clinical practice without restriction. Conclusion The quality and clinical utility of tele-assessments varied widely, suggesting a cautious consideration for immediate clinical practice application. There is potential for tele-assessments in clinical practice, but the clinical benefits need to be improved by simplifying the complexity of tele-assessments. Registration Number CRD42022335035.