Node Detection Research Articles

Artificial Intelligence and Machine Learning in Healthcare Cybersecurity of Current Applications and Future Directions

Data communication has increased due to the growth of technology-driven services and application deployment. Because there are always security risks to networks, the increasing throughput of networks has also increased the likelihood of cybercrimes. Additionally, the abrupt end of the COVID crisis, which caused nearly all services to go online, has increased awareness of the threat posed by cyberattacks in general. Thus, in the information and technology-driven world of today, reliable communication is crucial. The network is frequently discovered to be vulnerable to a variety of network attacks, such as spoofing, malware, and DDoS attacks. The difficulties caused by intrusions have also been covered in the current work, along with the methods to prevent and detect these kinds of intrusion attempts that have been under investigation for the past few years. Research needs have been identified by presenting and analysing the body of literature currently available on IDS. A hybrid approach has been suggested based on the information to provide a secure communication mechanism and protect the network from intruders. A cyber security strategy based on ABC and 3D CNN architecture is suggested as a solution to this. The qualities that reflect malware and DDoS attack aspects are chosen and optimised using the ABC. Neural networks are trained and classified using the retrieved data. The accuracy, recall, and f-measure analysis of the suggested cyber security method for malware and DDoS node detection were assessed. Comparative investigation demonstrated that the cyber security method was more effective at identifying network attacks.

Photoacoustic/ultrasound dual-modality imaging of Sentinel lymph node with carbon nanoparticles

Abstract Sentinel lymph node (SLN) biopsy is a widely used method for identifying axillary lymph node metastasis in breast cancer patients, offering an avoidance of unnecessary axillarydissections and a lower incidence of lymphedema and other complications. However, the nuclide localization has added complexity to the procedure due to its accessibility. Methylene blue and other small molecule dyes have been widely used due to their convenience, but they have been found to have lower specificity and sensitivity. Carbon nanoparticles (CNPs), as a new type of tracer, are safe and show improved specificity. However, the significant optical absorption in human tissues still renders the detection of deep lymph nodes challenging. To overcome these challenges, we developed a high-sensitivity ultrasound probe optimized for photoacoustic imaging. Based on the new probe, we constructed a high-sensitivity photoacoustic/ultrasound dual-modality imaging system. A pilot clinical study has been conducted on two patients, preliminarily verifying the system’s ability to locate SLN when combined with the CNPs.

385. TRANSLATING MOLECULAR-TARGETING FLUORESCENT PROBES IN OESOPHAGEAL CANCER PRE-CLINICAL MODELS

Abstract Background Intra-operative molecular imaging (IMI) is an emerging field that utilises tumour-targeting fluorescent probes to improve oncological outcomes. A novel class of probe known as quenched activity-based probes (qABP), developed to measure enzyme activity in-vitro, has been repurposed to target tumour-expressed proteases known as cathepsins. Unlike other tumour-targeting probes, fluorescence is inhibited up until the qABP covalently bonds to cathepsins, releasing an inhibitory quencher which results in fluorescence. This may improve the contrast between normal tissue and tumour. Our laboratory group sought to obtain pre-clinical evidence to eventually translate qABP’s into the operating room for oesophageal, junctional and gastric cancer. Methods Cathepsin activity was screened in cell lines from the normal oesophagus, Barrett’s metaplasia, oesophageal adenocarcinoma (OAC), squamous cell carcinoma (SCC) and gastric adenocarcinoma (GAC) with two qABP’s known as BMV109 and VGT309. We additionally screened patient biopsies from oesophageal, junctional and gastric cancers. Cell line and tissue samples were analysed using in-gel fluorescence (Amersham Typhoon®) and Western blot. In-vivo, cell line xenografts were established in NSG mice using subcutaneous and orthotopic models. Tumour-bearing mice were then injected with VGT-309 and then imaged at specific timepoints using the IVIS® spectrum imager. Results Cathepsin activity was found in all oesophago-gastric cell lines and selectivity proven with a cathepsin inhibitor. Matched biopsies were collected from patients prior before and after neoadjuvant chemo-radiotherapy. Baseline tumour biopsies exhibited significantly higher cathepsin activity than normal biopsies, with these differences preserved in biopsies collected after chemo-radiotherapy (p <0.001). In-vivo, OAC and GAC xenografts were identified in NSG mice as early as 12 hours post injection of VGT-309, exhibiting a 2.5-fold increase in fluorescence compared to normal background stomach. Bio-distribution analysis demonstrated that VGT-309 accumulated in liver and kidney, but less so in the murine oesophagus and stomach. Conclusion Translating qABP’s into the operating room has the potential to detect early cancers in Barrett’s metaplasia, reduce positive margin rates and identify lymph node metastasis. Our research group continues to investigate qABP’s, including determining their sensitivity to detect lymph node metastasis with the aim of translating this technology into a phase 1 clinical trial.

Selective Features Based Machine Learned Intrusion Detection Framework for Wireless Sensor Networks: A Need for Cryptographic Approach

Intruder attacks are a curse to wireless sensor network (WSN) nodes that affect their regular performance differently. The attacker cheats the cooperative characteristics of sensing elements pretending as a trustworthy node. Such intruders drastically degrade the WSN performance by affecting the sensing, collecting, processing, and transmitting capabilities of ideal nodes in the network. Due to their pretending behaviour, detecting such harmful nodes in the network is difficult since they are sometimes foes and other times friends. This paper introduces a selective feature-based machine-learning (SF-BML) framework that can detect an intruder node with a higher accuracy. The WSN-DS dataset constructed for four different attacks (Flooding, Blackhole, Grayhole, and Scheduling) is experimented with different feature attributes. The optimum features are found and tested for detection accuracy relating to all five categories. The experimental results using six significant features (SF) and a combination of eight other semi-significant features (SSF) showed that the normal-attacker node's detection accuracy increases with increasing features up to fourteen. The maximum training and test accuracy using fourteen features for the support vector machine (SVM) was 99.17% and 99.00% respectively.

Endoscopic Resection of Stage T1 Colorectal Adenocarcinoma Followed by Surgical Intervention: a Single-center Retrospective Study

BackgroundDomestic and international guidelines recommend endoscopic resection for stage T1 colorectal adenocarcinoma with indications. However, completion surgery remains imperative for patients exhibiting high-risk factors subsequent to endoscopic procedures.ObjectiveTo investigate the evidence, pathological features, and surgical outcomes of completion surgery in patients with T1 colorectal adenocarcinoma following endoscopic resection.MethodsWe retrospectively collect data on the clinical features and treatment outcomes of patients with stage T1 colorectal adenocarcinoma who underwent endoscopic resection followed by surgical resection and those who initially completed surgical intervention at Peking University International Hospital between January 2019 and October 2022, with the aim of assessing the necessity and feasibility of surgical intervention.ResultsSeventeen patients (Group A) with high-risk factors following endoscopic procedure, especially with deep submucosal invasion and vascular or lymphatic invasion, experienced further surgical resection. The median interval between endoscopic resection and completion surgery was 23.71 days ± 15.89. Sixteen patients (Group B) underwent radical resection without any prior interventions. The surgical approach involves integration of laparoscopy and colonoscopy for precise localization and quantitative diagnosis, followed by radical surgery. The two groups demonstrated significant differences statistically with reference to tumor diameter (1.65 cm ± 0.77 vs 3.36 cm ± 1.39, P = 0.000) and the attainment of standard lymph node count (cases of detected lymph nodes larger than or equal to 12, 5 vs 12, P = 0.015). Postoperative complications and hospital stay manifested no significant disparity statistically in two groups. Patients who underwent completion surgery had no inferior outcomes compared with those who underwent direct surgery in terms of 5-year disease-free survival (Log rank test: P = 0.083, Breslow test: P = 0.089). The two groups also exhibited no significant differences statistically in the context of overall survival (Log rank test: P = 0.652, Breslow test: P = 0.758).ConclusionCompletion surgery is a safe and feasible treatment option for T1 colorectal adenocarcinoma patients with high-risk factors, particularly those with deep submucosal invasion and vascular or lymphatic invasion following endoscopic treatment. Furthermore, subsequent treatment should be chosen based on a comprehensive analysis of the patient’s history of abdominal surgery, willingness, and pathological features.

Malicious Nodes Detection and Avoidance Using Trust-based Routing in Critical Data Handling Wireless Sensor Network Applications

Malicious Nodes Detection and Avoidance Using Trust-based Routing in Critical Data Handling Wireless Sensor Network Applications

Survival Impact of Sentinel Lymph Node Biopsy in Patients with Early-Stage Cervical Cancer.

To assess whether there were statistically significant differences in terms of overall survival (OS) and progression-free survival (PFS) between pelvic lymphadenectomy (PL) and sentinel lymph node biopsy (SLNB) alone as a nodal assessment method in patients with early-stage cervical cancer (IA1 with ILV to IB2 or IIA1 of the FIGO 2018 classification). A retrospective study was conducted among patients with early-stage cervical cancer who underwent radical surgery with pelvic lymph node assessment at La Paz University Hospital between 2005 and 2022. For nodal staging, either PL, SLNB + PL, or exclusive SLNB were performed, depending on the time period. Kaplan-Meier survival curves were compared between the PL and SLNB groups. Predictors of bilateral sentinel lymph node (SLN) detection were identified with Cox proportional hazard models. Among the 128 patients included, PL ± SLNB was performed in 79 (61.7%) patients and exclusive SLNB in 49 (38.3%) patients. There was no difference between PL and SLNB in OS (log-rank 0.0730) or PFS (log-rank 0.0189). Lower limb lymphedema (LLL) was significantly lower in the SLNB group (p = 0.001). Pelvic nodal assessment with SLNB alone did not worsen survival rates compared with the standard PL in patients with early-stage cervical cancer, and it is associated with a lower rate of LLL.

Comparison of different tracers in sentinel lymph node detection for endometrial cancer: A systematic review and network meta-analysis.

In the realm of endometrial cancer (EC) therapeutics and prognostic assessments, lymph nodes' status is paramount. The sentinel lymph node (SLN) detection, recognized for its reliability, has been progressively adopted as a standard procedure, posing a compelling alternative to conventional systematic lymphadenectomy. However, there remains a lack of agreement on the most effective choice of tracers for this procedure. This investigation was dedicated to a comparative analysis of various tracers to identify the most effective combination that achieves the highest detection rate. This endeavor sought to enhance the efficacy of SLN biopsy in the surgical management of EC. A systematic review was conducted across multiple databases, including the Cochrane Central Register of Controlled Trials, PubMed, Web of Science, Embase, and clinicaltrials.gov, to analyze studies employing different tracers for SLN biopsy during surgery in EC. Using Bayesian network meta-analysis, we compared the total and bilateral detection rates of various tracers. After screening 1431 articles, 11 studies including 2699 participants were selected in this network meta-analysis. The combination of radioactive isotopes and indocyanine green (ICG) emerged as the most efficacious method in total and bilateral detection rates, with the Surface Under the Cumulative Ranking Curve (SUCRA) scores of 80.00% and 86.36%, respectively. Additionally, carbon nanoparticles (CNPs) demonstrated superior performance in the detection of para-aortic lymph nodes with an SUCRA score of 97.77%. Network meta-analysis shows that the application of radioactive isotopes and ICG is the optimal tracer combination for SLN biopsy during surgery in EC.

Lightweight Cryptography using Pairwise key generation and malicious node detection in large UAV

Data security is very essential concern in network data transmission between various sensor nodes. Data encryption is the only way to provide security to sensitive information during the transmission. Various researchers have developed the different encryption techniques with heterogeneous encryption and decryption keys. Nevertheless, the standard does not include guidance for the administration, storage, or distribution of encryption keys. Various researchers proposed key management techniques, but those methods still generate high overhead during data communication. To eliminate such problems, we suggest lightweight key encryption using pairwise cryptography and malicious node detection from large UAVs. The proposed encryption algorithm compresses the cypher data, reducing the network overhead, and detecting malicious nodes provides higher security from internal and external intruders. In extensive experimental analysis, our simulation obtains better results than existing systems. That enhances around 7-9% throughput with other QoS parameters.

Comparison of the Performance of [18F]-FDG PET/CT and [18F]-FDG PET/MRI for Lymph Node Metastasis in Breast Cancer: A Systematic Review and Meta- Analysis.

The primary objective of this study was to conduct a comparative analysis of the diagnostic efficacy of [18F]-FDG PET/CT and [18F]-FDG PET/MRI in the detection of breast cancer lymph node metastasis. We conducted a comprehensive search on PubMed, Embase, and Web of Science databases, encompassing eligible articles until March 2023. The pooled sensitivity and specificity for [18F]-FDG PET/CT and [18F]-FDG PET/MRI have been reported as estimates with 95% Confidence Intervals (CIs) using a bivariate random-effect model. Utilizing the I square (I2) statistic, heterogeneity among pooled studies was evaluated. The quality assessment of the included studies was conducted using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) methodology. We included 18 studies (2057 patients). The sensitivity, specificity, and AUC (Area Under the Curve) values of [18F]-FDG PET/CT for overall lymph node metastasis in breast cancer have been found to be 0.58 (0.39 - 0.75), 0.83 (0.69-0.92), and 0.79 (0.75-0.82), respectively. Correspondingly, the values for [18F]-FDG PET/MRI were found to be 0.76 (0.60-0.88), 0.85 (0.77-0.91), and 0.89 (0.86-0.91), respectively. The sensitivity, specificity, and AUC values of [18F]-FDG PET/CT for axillary lymph node metastasis in breast cancer were 0.52 (0.37-0.67), 0.84 (0.68-0.92), and 0.73 (0.69-0.76), respectively. Correspondingly, the values for [18F]-FDG PET/MRI were 0.84 (0.76-0.89), 0.87 (0.75-0.94), and 0.86 (0.83-0.89), respectively. This study has suggested [18F]-FDG PET/MRI to have greater diagnostic power than [18F]-FDG PET/CT in detecting lymph node metastasis in breast cancer. However, the [18F]-FDG PET/MRI results have been obtained from a small sample size study, and more and larger prospective studies are needed for further confirmation on this issue.</p>.

Effects of Degreasing Pretreatment on Immunohistochemistry and Molecular Analysis of Gastrointestinal and Breast Cancer Samples

Lymph node status is a key factor in determining stage, treatment, and prognosis in cancers. Small lymph nodes in fat-rich gastrointestinal and breast cancer specimens are easily missed in conventional sampling methods. This study examined the effectiveness of the degreasing pretreatment with dimethyl sulfoxide (DMSO) in lymph node detection and its impact on the analysis of clinical treatment–related proteins and molecules. Thirty-three cases of gastrointestinal cancer specimens from radical gastrectomy and 63 cases of breast cancer specimens from modified radical mastectomy were included. After routine sampling of lymph nodes, the specimens were immersed in DMSO for 30 minutes for defatting. We assessed changes in the number of detected lymph nodes and pN staging in 33 gastrointestinal cancer specimens and 37 breast cancer specimens. In addition, we analyzed histologic characteristics, Masson trichrome special staining, and immunohistochemistry (gastrointestinal cancer: MMR, HER2, and PD-L1; breast cancer: ER, PR, AR, HER2, Ki-67, and PD-L1). Molecular status was evaluated for colorectal cancer (KRAS, NRAS, BRAF, and microsatellite instability) and breast cancer (HER2) in gastrointestinal cancer specimens and the remaining 26 breast cancer specimens. Compared with conventional sampling, DMSO pretreatment increased the detection rate of small lymph nodes (gastrointestinal cancer: P < .001; breast cancer: P < .001) and improved pN staging in 1 case each of gastric cancer, colon cancer, and rectal cancer (3/33; 9.1%). No significant difference in the morphology, special staining, protein, and molecular status of cancer tissue after DMSO treatment was found. Based on these results and our institutional experience, we recommend incorporating DMSO degreasing pretreatment into clinical pathologic sampling practices.

A Systematic Review of Occult Contralateral Neck Metastasis in Tonsillar Squamous Cell Carcinoma.

To determine the prevalence of occult contralateral nodal metastasis in tonsillar squamous cell carcinoma (TSCC) in patients who have undergone bilateral neck dissection. A systematic review of English articles identified from PubMed, Embase, and Web of Science databases. Search terms included "oropharynx," "carcinoma," "lymph node," and "neck dissection." Two reviewers independently screened abstracts, reviewed full texts, and extracted data from all studies that presented the prevalence of contralateral occult nodal metastasis in TSCC. The overall prevalence of occult contralateral nodal metastasis was 10%. The prevalence was 8% for cT1/T2 tumors, 19% for cT3/T4, 1% for N0 in the ipsilateral neck, and 12% for N+. Occult contralateral lymph nodes were most frequently found in neck level II (81%) and level III (19%). No metastatic nodes were found in level I. Elective neck dissection of the contralateral neck in TSCC is controversial due the historic morbidity caused by the surgery. A widely accepted recommendation suggests performing an elective neck dissection when the prevalence of occult metastasis is between 15% and 20%. The results of this study suggest that elective contralateral neck dissection will identify occult positivity in 19% of patients with T3/T4 tonsil cancer. In T1/T2 or N0 tumors, the diagnostic yield would be considerably lower at 8% and 1%, respectively. Contralateral nodal sampling could be considered based on patient preference after adequate counseling on the risks/benefits of occult nodal detection. More research is needed on other nodal features to formulate treatment guidelines. Laryngoscope, 2024.

The role of superior hemorrhoidal vein ectasia in the preoperative staging of rectal cancer.

The prognosis of colorectal cancer has continuously improved in recent years thanks to continuous progress in both the therapeutic and diagnostic fields. The specific objective of this study is to contribute to the diagnostic field through the evaluation of the correlation between superior hemorrhoidal vein (SHV) ectasia detected on computed tomography (CT) and Tumor (T), Node (N), and distant metastasis (M) examination and mesorectal fascia (MRF) invasion in the preoperative staging of rectal cancer. Between January 2018 and April 2022, 46 patients with histopathological diagnosis of rectal cancer were retrospectively enrolled, and the diameter of the SHV was evaluated by CT examination. The cutoff value for SHV diameter used is 3.7mm. The diameter was measured at the level of S2 during portal venous phase after 4× image zoom to reduce the interobserver variability. The parameters evaluated were tumor location, detection of MRF infiltration (defined as the distance < 1mm between the tumor margins and the fascia), SHV diameter, detection of mesorectal perilesional lymph nodes, and detection of metastasis. A total of 67.39% (31/46) of patients had SHV ectasia. All patients with MRF infiltration (4/46, 7.14%) presented SHV ectasia (average diameter of 4.4mm), and SHV was significantly related with the development of liver metastases at the moment of primary staging and during follow-up. SHV ectasia may be related to metastasis and MRF involvement; therefore, it could become a tool for preoperative staging of rectal cancer.

Transcutaneous sentinel lymph node detection in skin melanoma with near-infrared fluorescence imaging using indocyanine green.

The aim of the study is to assess whether indocyanine green (ICG) fluorescence can replace technetium in the preoperative detection of sentinel lymph nodes (SLN) from cutaneous melanoma. The current golden standard for SLN detection is the radioisotope technetium. A promising alternative is fluorescence imaging (FLI) using ICG. In this study, we enrolled patients undergoing sentinel lymph node biopsy (SLNB) for skin melanoma at the Erasmus Medical Center between November 2022 and July 2023. The SLNB procedure was performed as a standard of care. After general anesthesia, ICG was injected intradermally around the primary tumor site. Both the patient and the surgeon were not blinded for the location of the SLN. FLI was performed before incision, in vivo after incision, and ex vivo. Fluorescent SLNs were confirmed using the gamma probe in all cases. Thirty-two patients were included in this study, and a total of 39 SLNs were harvested. The transcutaneous detection rate of ICG was 21.9%. The combined ex vivo ICG fluorescence and technetium uptake was 94.9%. One SLN contained only ICG (2.6%) and one SLN contained only technetium-uptake (2.6%). FLI using ICG resulted in a relatively low transcutaneous detection, which means that exclusive use of this technique in its present form is not feasible. However, we did find a high accumulation of ICG in the SLN, indicating the potential of ICG in combination with other imaging techniques.

Detection of minimal extended driver nodes in energetic costs reduction.

Structures of complex networks are fundamental to system dynamics, where node state and connectivity patterns determine the cost of a control system, a key aspect in unraveling complexity. However, minimizing the energy required to control a system with the fewest input nodes remains an open problem. This study investigates the relationship between the structure of closed-connected function modules and control energy. We discovered that small structural adjustments, such as adding a few extended driver nodes, can significantly reduce control energy. Thus, we propose MInimal extended driver nodes in Energetic costs Reduction (MIER). Next, we transform the detection of MIER into a multi-objective optimization problem and choose an NSGA-II algorithm to solve it. Compared with the baseline methods, NSGA-II can approximate the optimal solution to the greatest extent. Through experiments using synthetic and real data, we validate that MIER can exponentially decrease control energy. Furthermore, random perturbation tests confirm the stability of MIER. Subsequently, we applied MIER to three representative scenarios: regulation of differential expression genes affected by cancer mutations in the human protein-protein interaction network, trade relations among developed countries in the world trade network, and regulation of body-wall muscle cells by motor neurons in Caenorhabditis elegans nervous network. The results reveal that the involvement of MIER significantly reduces control energy required for these original modules from a topological perspective. Additionally, MIER nodes enhance functionality, supplement key nodes, and uncover potential mechanisms. Overall, our work provides practical computational tools for understanding and presenting control strategies in biological, social, and neural systems.

Ga68-PSMA PET for lymph node staging in intermediate and high-risk prostate cancer patients undergoing robotic assisted radical prostatectomy.

In intermediate/high risk prostate cancer, preoperative staging exams are mandatory. The aim of these imaging studies is to evaluate eventual lymph nodes involvement and/or metastatic spread of the tumor. Nevertheless, computed tomography (CT), magnetic resonance imaging (MRI), bone scan modalities have controversial sensitivity. Introduction of PET-PSMA and its use also as preoperative exam, seems to improve diagnostic accuracy due to favorable negative predictive value. The aim of this study was to evaluate the accuracy of PET-PSMA as a preoperative staging exam and its accuracy in predicting lymph nodes involvement in intermediate/high risk prostate cancer (PCa) patients. A retrospective analysis of 50 patients diagnosed with intermediate/high risk PCa between 2018 and 2022 has been performed. All patients underwent preoperative 68Ga-PSMA PET/CT prior to robot-assisted radical prostatectomy (RARP) + extended pelvic lymph node dissection (ePLND). The cohort was categorized into two groups: pathologically negative lymph nodes (pN0) vs. positive nodes (pN1). A descriptive and comparative analysis was conducted. Correlation analysis between continuous variables was performed using the Spearman's Rank Test. Using lymph nodes histopathological results as reference standard, the diagnostic performance of 68Ga-PSMA PET/CT was calculated. Overall, 50 patients were included. The mean age was 63.3 years with a median prostatic specific antigen (PSA) of 7.7 ng/dL. Forty-four percent of the patients exhibited an International Society of Urological Pathology (ISUP) score of 4 or higher, and 28% had a pT3 stage. Overall, 43 (86%) patients submitted to ePLND did not present lymph node metastases (pN0), while 8 (14%) patients were pN1. PET-PSMA showed low sensitivity in detecting lymph node metastases (25%) while a high specificity in excluding lymph-node disease (88.1%) has been observed. Finally, we noted a significant positive correlation between the total SUV<inf>max</inf> of the prostate and the initial total PSA (r=0.38; P=0.019), as well as the percentage of tumor involvement (r=0.383; P=0.022). Evidence on the role of PET-PSMA in the primary staging of PCa is steadily building up. A positive correlation between SUV and prostate involvement indicates that PET-PSMA could reflect, with a good approximation, the pathological features of the prostate. However, the low sensitivity depicted remains the main limitation. Future prospective studies are needed to determine the impact on patient outcome.

72197 - Evaluating MRI artefacts and skin discoloration using an intradermal ultra-low dose of superparamagnetic iron oxide for sentinel lymph node detection

72197 - Evaluating MRI artefacts and skin discoloration using an intradermal ultra-low dose of superparamagnetic iron oxide for sentinel lymph node detection

71288 - Sentinel lymph node detection with an ultra-low dose of superparamagnetic iron oxide nanoparticles in patients with breast cancer

71288 - Sentinel lymph node detection with an ultra-low dose of superparamagnetic iron oxide nanoparticles in patients with breast cancer

Wicked node detection in wireless ad-hoc network by applying supervised learning

A wireless ad-hoc network (WANET) is a decentralized network supported by wireless connections without a pre-existing architecture. However, the mobility of nodes is a defining characteristic of WANETs, and the speed with which nodes may act poses several security risks. As a result of these wicked nodes, more data packets are lost, which might cause a significant delay. Thus, it is very important to identify wicked nodes in WANET. This work provides a support vector machine approach for detecting (SVMD) wicked nodes in the internet of things. The number of characteristics is reduced using the linear correlation coefficient (LCC) technique. With the LCC technique, we can precisely measure the strength of the connection between any two nodes while clearing the field of irrelevant information. Further, the support vector machine (SVM) algorithm may identify the wicked nodes by analyzing metrics such as the packet received ratio, packet delay ratio, and remaining energy ratio. The next step is to reach a verdict in which the wicked nodes are punished by being rendered inoperable. The simulation results show that the network latency is minimized, and the chance of missing detection is decreased using this method in WANET.

72229 - Ultralow dose of superparamagnetic iron oxide nanoparticles in combination with Magseed for sentinel node detection in nonpalpable breast cancer

72229 - Ultralow dose of superparamagnetic iron oxide nanoparticles in combination with Magseed for sentinel node detection in nonpalpable breast cancer