Quantum Computing in Community Detection for Anti-Fraud Applications by Yanbo (Justin) Wang, Xuan Yang, Chao Ju, Yue Zhang, Jun Zhang, Qi Xu, Yiduo Wang, Xinkai Gao, Xiaofeng Cao, Yin Ma, Jie Wu

“…This paper introduces a novel fraud detection method that utilizes quantum computing to implement community detection in transaction networks. …”
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Research on a Wear Defect Detection Method for a Switch Sliding Baseplate Based on Improved Yolov5 by Qing Jiang, Ruipeng Gao, Yan Zhao, Wenzhen Yu, Zhuofan Dang, Shiyi Deng

“…Traditional random sampling methods struggle to capture their detailed characteristics, leading to inadequate accuracy and robustness in the detection process. …”
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Droplet digital RT-PCR method for SARS-CoV-2 variants detection in clinical and wastewater samples by Feng Wang, Yi Sun, Liming Gong, Lingxuan Su, Biaofeng Zhou, Xiuyu Lou, Yin Chen, Wen Shi, Haiyan Mao, Yanjun Zhang

“…ObjectiveTo establish a sensitive, specific, and precise quantitative detection method for SARS-CoV-2 variants using droplet digital RT-PCR (RT-ddPCR).MethodsDual primer-probe sets targeting the SARS-CoV-2 nucleocapsid (N) and spike (S) genes were designed. …”
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A deep dive into artificial intelligence with enhanced optimization-based security breach detection in internet of health things enabled smart city environment by S Jayanthi, Sodagudi Suhasini, N. Sharmili, E. Laxmi Lydia, V. Shwetha, Bibhuti Bhusan Dash, Mrinal Bachute

“…So, improving an intrusion detection system (IDS) for attack identification and detection using the IoHT method is fundamentally necessary. …”
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Optimized predictive maintenance for streaming data in industrial IoT networks using deep reinforcement learning and ensemble techniques by K. Varalakshmi, J. Kumar

“…Extensive simulations, evaluated using accuracy, precision, recall, F1-score, and latency, demonstrate superior performance over traditional methods, minimizing false positives and enhancing fault detection reliability. …”
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Deep learning-based anomaly detection for precision field crop protection by Cheng Wei, Yifeng Shan, MengZhe Zhen

“…Traditional methods struggle with the complexity and variability of agricultural data collected from diverse sources.MethodsTo address these challenges, we propose a novel framework that integrates the Integrated Multi-Modal Smart Farming Network (IMSFNet) with the Adaptive Resource Optimization Strategy (AROS). …”
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Multi-Channel Power Scheduling Based on Intrusion Detection System Under DDoS Attack: A Starkberg Game Approach by Youwen Yi, Lianghong Peng

“…Considering the energy constraints of both sensors and attacker, this paper also proposes an Intrusion Detection System (IDS) based on remote estimation to achieve an optimal defense strategy, with Packet Reception Rate (PPR) serving as a criterion for intrusion detection. …”
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Visual indicator for the detection of methylmercury in blood: A critical biomarker for dietary exposure assessment by Yan Guo, Bing-chan Ma, Wen-qi Zhang, Bo-xin Li, Jia-ming Ou, Fen Liu, Chang-ye Hui

“…The optimized biosensor achieved a detection limit of 0.195 nM and exhibited a linear response range of 0.195–1.563 nM for MeHg. …”
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Multidimensional reference regions is a new tool to optimize the personalized care of patients by Peggy Gandia, Angélo Faget, Thibaut Jamme, Jérôme Ausseil, Didier Concordet

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WMSNs Data Hidden Anomaly Detection Based on OH-KFJLT Bloom Filter by Chenkai Xiao, Zhongsheng Li, Yanming Wu

“…Firstly, the data is hashed by using the OH-KFJLT mapping method based on optimal hyperplane. Then, the RCS is adopted to de-noise the data. …”
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Research on electromagnetic ultrasonic guided wave and eddy current composite detection method for cracks in aircraft aluminum alloy thin-wall sheet by MA Miandong, YU Hongwei, MA Rong, ZHOU Xin, FAN Xueling

“…The optimal detection frequency range for differential eddy current detection probes is 500 kHz to 1 000 kHz.…”
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A rapid detection method for egg quality using CARS and SSA⁃XGBoost improved by combining hyperspectral analysis by WANG Linyi, ZOU Qianying, SUN Qiang

“…ObjectiveTo realize non-destructive, accurate, and rapid detection of egg quality.MethodsOn the basis of hyperspectral detection technology, a rapid egg quality detection method combining the bottle sea squirt group algorithm and XGBoost algorithm has been proposed. …”
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A Low Complexity Near-Optimal Detector Based on Teaching-Learning Algorithm for Massive MIMO by Hamid Amiriara, Mohammadreza Zahabi

“…Therefore, we use this method to search for the optimal solution vector in the modulation alphabet. …”
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Slim-sugarcane: a lightweight and high-precision method for sugarcane node detection and edge deployment in natural environments by Lijiao Wei, Lijiao Wei, Shuo Wang, Xinwei Liang, Dongjie Du, Xinyi Huang, Ming Li, Yuangang Hua, Weihua Huang, Zhenhui Zheng, Zhenhui Zheng

“…However, existing detection methods often suffer from large model sizes and suboptimal performance, limiting their applicability on resource-constrained edge devices. …”
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Automated and efficient Bangla signboard detection, text extraction, and novel categorization method for underrepresented languages in smart cities by Tanmoy Mazumder, Fariha Nusrat, Abu Bakar Siddique Mahi, Jolekha Begum Brishty, Rashik Rahman, Tanjina Helaly

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Development of an In-Field Method for the Detection of Barium in Various Water Samples Using Differential Pulse Anodic Stripping Voltammetry by S. Ridgway, M. Wajrak

“…This work presents a reliable, cost-effective, rapid and in-field voltammetric method for the detection of barium. The optimized method consists of an ultrathin mercury film deposited in situ on a glassy carbon electrode in dilute potassium chloride without deoxygenation, using differential pulse anodic stripping voltammetry (DP-ASV). …”
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A Lightweight and Efficient Plant Disease Detection Method Integrating Knowledge Distillation and Dual-Scale Weighted Convolutions by Xiong Yang, Hao Wang, Qi Zhou, Lei Lu, Lijuan Zhang, Changming Sun, Guilu Wu

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AHN-YOLO: A Lightweight Tomato Detection Method for Dense Small-Sized Features Based on YOLO Architecture by Wenhui Zhang, Feng Jiang

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Only Detect Broilers Once (ODBO): A Method for Monitoring and Tracking Individual Behavior of Cage-Free Broilers by Chengcheng Yin, Xinjie Tan, Xiaoxin Li, Mingrui Cai, Weihao Chen

“…To continuously track broiler behaviors, the Only Detect Broilers Once (ODBO) method is proposed by linking behaviors with identity information. …”
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An Improved YOLOv8n-Based Method for Detecting Rice Shelling Rate and Brown Rice Breakage Rate by Zhaoyun Wu, Yehao Zhang, Zhongwei Zhang, Fasheng Shen, Li Li, Xuewu He, Hongyu Zhong, Yufei Zhou

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