LEACH protocol based security mechanism for Sybil attack detection by CHEN Shan-shan1, YANG Geng2, CHEN Sheng-shou2

“…Low energy adaptive clustering hierarchy（LEACH） could effectively reduce energy consumption of wireless sensor network（WSN）.However,a novel security mechanism was proposed based on LEACH protocol called LEACH-S in order to improve the security performance of WSN.The mechanism adopted a received signal strength indicator（RSSI） based policy for Sybil attack detection in WSN,and a reasonable threshold was chosen to initialize Sybil attack detection strategy in which case attack may occur with high possibility.The simulation results show that the mechanism can detect Sybil attack effectively at the cost of low energy consumption.…”
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Application of Honeypot in Network Security for Detecting Cyber Attacks on IT Infrastructure by Carlos Susanto, Moh Ali Romli

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Fatigue Detection in Air Traffic Controllers: A Comprehensive Review by Hui Pan, Yi Hu, Yanjun Wang, Vu Duong

“…This paper provides a comprehensive review of the methods and research on detecting fatigue in air traffic controllers (ATCOs). …”
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High-Intensity Transient Signals Detected in a Renal Allograft by Lea Kaadi, Christele Lahoud, Samir Hachem, Tarek Smayra, Kamal Hachem

“…A better understanding and recognition of this radiological sign are essential in order to initiate appropriate patient management when needed. …”
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Code vulnerability detection method based on graph neural network by Hao CHEN, Ping YI

“…The schemes of using neural networks for vulnerability detection are mostly based on traditional natural language processing ideas, processing the code as array samples and ignoring the structural features in the code, which may omit possible vulnerabilities.A code vulnerability detection method based on graph neural network was proposed, which realized function-level code vulnerability detection through the control flow graph feature of the intermediate language.Firstly, the source code was compiled into an intermediate representation, and then the control flow graph containing structural information was extracted.At the same time, the word vector embedding algorithm was used to initialize the vector of basic block to extract the code semantic information.Then both of above were spliced to generate the graph structure sample data.The multilayer graph neural network model was trained and tested on graph structure data features.The open source vulnerability sample data set was used to generate test data to evaluate the method proposed.The results show that the method effectively improves the vulnerability detection ability.…”
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Structural Neuroimaging in the Detection and Prognosis of Pre-Clinical and Early AD by Christine Fennema-Notestine, Linda K. McEvoy, Donald J. Hagler, Mark W. Jacobson, Anders M. Dale, the Alzheimer’s Disease Neuroimaging Initiative

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A novel transformer-based approach for cardiovascular disease detection by Nimra Noor, Muhammad Bilal, Saadullah Farooq Abbasi, Omid Pournik, Theodoros N. Arvanitis

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LOOP-MEDIATED ISOTHERMAL AMPLIFICATION FOR DETECTION OF C. BURNETII IN BULGARIA by M. Kunchev, V. Belcheva, E. Grigorov

“…Rapid diagnosis of Q fever is needed in order that effective treatment can be initiated. The conventional retrospective diagnosis of Q fever, based on serology, is useless for the treatment of afflicted patients. …”
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Posture detection of athletes in sports based on posture solving algorithms by Huan Zhang

“…Among them, the athletes' posture detection technology based on the attitude solving algorithm has been widely concerned in recent years. …”
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Lightweight Domestic Pig Behavior Detection Based on YOLOv8 by Kaining Zhang, Yu Zhang, Hongli Xu

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An AI framework for counterattack detection and decision-making evaluation in football by Jiangyan Yang, Huanmin Ge, Yixiong Cui

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Support Vector Machine (SVM) for Tomato Leaf Disease Detection by Shafaf Ibrahim, Nur Afiqah Mohd Fuad, Nor Azura Md Ghani, Raihah Aminuddin, Budi Sunarko

“…This study proposes a method for detecting tomato leaf diseases using image processing techniques. …”
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COVID-19 detection: Comparison and accuracy of several diagnostic tests by Mati Ullah, Muhammad Ibrar, Salah Uddin Khan, Habib Ullah, Nasir Ali Khan

“…The aims of this study were to evaluate and compare the different diagnostic tests recommended by the World Health Organization (WHO) for earlier detection of the novel SARSCoV-2. We found that the Clustered regularly interspaced short palindromic sequence (CRISPR/Cas) detection has relatively higher efficiency, compared to all the other tests. …”
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Detecting Chinese Disinformation with Fine–Tuned BERT and Contextual Techniques by Lixin Yun, Sheng Yun, Haoran Xue

“…This study presents a novel approach to specifically detecting Chinese misinformation using fine-tuned BERT models, incorporating techniques such as Contextual Unit Obscuration, Multi-span Concealment, and Adaptive Concealment. …”
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An Effective Algorithm for Video-Based Parking and Drop Event Detection by Gang Li, Huansheng Song, Zheng Liao

“…Real-time and accurate detection of parking and dropping events on the road is important for the avoidance of traffic accidents. …”
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Functional Molecule‐Integrated Nano‐Interfaces for Detection of Extracellular Vesicles by Hirobumi Sunayama, Yuya Matsui, Toshifumi Takeuchi

“…Abstract Functional molecule‐integrated polymer nanocavities for the detection of extracellular vesicles (EVs) are prepared via template polymerization and multistep post‐modification. …”
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Crack Detectability in Vertical Axis Cooling Pumps During Operation by N. Bachschmid, P. Pennacchi, E. Tanzi, P. Verrier, F. Hasnaoui, K. Aabadi

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Integrating electrocardiogram and fundus images for early detection of cardiovascular diseases by K. A. Muthukumar, Dhruva Nandi, Priya Ranjan, Krithika Ramachandran, Shiny PJ, Anirban Ghosh, Ashwini M, Aiswaryah Radhakrishnan, V. E. Dhandapani, Rajiv Janardhanan

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Sysmon event logs for machine learning-based malware detection by Riki Mi’roj Achmad, Dyah Putri Nariswari, Baskoro Adi Pratomo, Hudan Studiawan

“…Malware poses a significant threat to modern computing environments, necessitating advanced detection techniques that can adapt to evolving attack methods. …”
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Emerging Biomarkers in Atherosclerosis: Advancing Early Detection and Risk Stratification by Aleksandra Sojka, Julia Sosin, Anna Pilarz, Julia Stachowiak, Maria Zwierzchowska, Dariusz Salamon, Wojciech Domagała

“…However, considering that atherosclerosis is one of the leading causes of mortality worldwide and its etiology still remains insufficiently elucidated, there is a pressing need for new, more specific biomarkers for its earlier detection. Aim of the study: The aim of this study is to summarize the knowledge concerning new potential biomarkers for the early detection of atherosclerosis through analyzing the biological processes associated with the initiation and progression of the disease, such as inflammation, oxidative stress, and endothelial dysfunction, to better understand its pathophysiology.  …”
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