ZZ-YOLOv11: A Lightweight Vehicle Detection Model Based on Improved YOLOv11 by Zhe Zhang, Zhongyang Zhang, Gang Li, Chenxi Xia

“…Aiming at the problems of insufficient vehicle detection accuracy, high misdetection and omission rate, and heavy model computational burden caused by complex lighting conditions, target occlusion, and other factors in urban traffic scenarios, this paper proposes an improved lightweight detection network, ZZ-YOLO. …”
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Green Apple Detection Method Based on Multidimensional Feature Extraction Network Model and Transformer Module by Wei Ji, Kelong Zhai, Bo Xu, Jiawen Wu

“…The test results show that the algorithm proposed in this article exhibits great potential in the task of detecting pollution-free near-color fruits by the picking robot. …”
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The LED-ID Detection and Recognition Method Based on Visible Light Positioning Using Proximity Method by Canyu Xie, Weipeng Guan, Yuxiang Wu, Liangtao Fang, Ye Cai

“…In most researches about CMOS sensor based VLP, researchers always focus on the high-precision positioning algorithm but ignore that the accuracy of LED-ID detection and recognition plays a more important role in a VLP system. …”
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Initial Phase Angle Detection of Permanent Magnet Synchronous Linear Motor Based on Spectrum Observer by Chengmei LIN, Zhentian LIU, Guangsen WANG, Liang ZHOU, Youxing XIONG

“…In order to solve the problems of complex algorithm and high performance requirement of hardware circuit in the existing initial phase angle detection method of permanent magnet synchronous linear motor, a new method of PMSM initial phase angle detection based on spectral observer was proposed. …”
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Roman urdu hate speech detection using hybrid machine learning models and hyperparameter optimization by Waqar Ashiq, Samra Kanwal, Adnan Rafique, Muhammad Waqas, Tahir Khurshaid, Elizabeth Caro Montero, Alicia Bustamante Alonso, Imran Ashraf

“…Abstract With the rapid increase of users over social media, cyberbullying, and hate speech problems have arisen over the past years. Automatic hate speech detection (HSD) from text is an emerging research problem in natural language processing (NLP). …”
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An Effective Method for Detecting Cyber Attacks on Computer Networks from the NSL-KDD Data Set by Shaik Aseena Babu, Reddy Rajeswara, Vullam Nagagopi Raju, Reddy Gondi Konda, Shaik Subhani

“…Machine learning models are used to advance the techniques to detect and solve cybersecurity problems. Machine learning methods help detect more cyber attacks more efficiently than other software-oriented techniques, reducing the burden on security analysts. …”
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Enhancing Harmony Search Metaheuristic Algorithm for Coverage Efficiency, Test Suite Reduction, and Running Time in Combinatorial Interaction Testing by Aminu Aminu Muazu, Ahmad Sobri Hashim

“…Optimization has developed powerful algorithms for solving complex problems efficiently. …”
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A Multi-Index Fusion Adaptive Cavitation Feature Extraction for Hydraulic Turbine Cavitation Detection by Yi Wang, Feng Li, Mengge Lv, Tianzhen Wang, Xiaohang Wang

“…A multi-index fusion adaptive cavitation feature extraction and cavitation detection method is proposed to solve the above problems. …”
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StopSpamX: A multi modal fusion approach for spam detection in social networking by Dasari Siva Krishna, Gorla Srinivas

“…The main difficulty arises while we deal with the spam data. So, this problem of spam data should be properly handled. In order to achieve a spam free environment, researchers have proposed numerous methods and algorithms for spam detection. …”
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Dim and Small Target Detection Based on Local Feature Prior and Tensor Train Nuclear Norm by Anqing Wu, Xiangsuo Fan, Lei Min, Wenlin Qin, Ling Yu

“…When faced with complex scenes containing strong edge contours and noise, there are still more background residuals in the detection results of traditional algorithms, leading to a high false alarm rate. …”
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Improved model MASW YOLO for small target detection in UAV images based on YOLOv8 by Xianghe Meng, Fei Yuan, Dexiang Zhang

“…This model aims to address the problems of small targets, missed detection, and misdetection of UAV viewpoint feature detection targets. …”
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A novel and efficient personalized stress detection technique using a deep learning model by Ulligaddala Srinivasarao, Gopisetty Rathnamma, M. Satish Kumar, Lakshmipathi Anantha, Rakesh Kumar Donthi, T. Jhansi Rani

“…It majorly affects adults and elders, which further leads to chronic health problems and heart-related diseases. Various techniques were developed to detect stress levels. …”
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Transmission Line Connection Fittings and Corrosion Detection Method Based on PCSA-YOLOv7 Former by Zhiwei SONG, Xinbo HUANG, Chao JI, Fan ZHANG, Ye ZHANG

“…The experimental results show that the proposed method is superior to 12 existing state-of-the-art object detection algorithms in comprehensive detection performance of the constructed TLCF dataset, with the mAP0.5 of the test set reaching 94.9 %. …”
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Infra-Red Imaging to Detect Respirator Leak in Healthcare Workers During Fit-Testing Clinic by Darius Chapman, Campbell Strong, Kathryn D Tiver, Dhani Dharmaprani, Even Jenkins, Anand N Ganesan

“…Objective: This study addressed the problem of objectively detecting leaks in P2 respirators at point of use, an essential component for healthcare workers' protection. …”
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Depression Analysis and Detection Using Machine Learning: Incorporating Gender Differences in a Comparative Study by Marina Galanina, Anna Rekiel, Anna BaCzyk, Bozena Kostek

“…Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. …”
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Enhancing Solar Plant Efficiency: A Review of Vision-Based Monitoring and Fault Detection Techniques by Ioannis Polymeropoulos, Stavros Bezyrgiannidis, Eleni Vrochidou, George A. Papakostas

“…The current performance and failures of vision-based algorithms for solar panel fault detection are identified, raising their capabilities, limitations and research gaps, towards effectively guiding future research. …”
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Enhanced Intrusion Detection in In-Vehicle Networks Using Advanced Feature Fusion and Stacking-Enriched Learning by Ali Altalbe

“…However, the increased number of ECUs and their connectivity to the in-vehicle network poses a security risk due to the lack of encryption and authentication protocols such as the controller area network (CAN). To address this problem, machine learning (ML) based intrusion detection systems (IDSs) have been proposed. …”
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Enhancing convolutional neural networks in electroencephalogram driver drowsiness detection using human inspired optimizers by Anupam Yadav, Rifat Hussain, Madhu Shukla, Jayaprakash B, Rishiv Kalia, S. Prince Mary, Chou-Yi Hsu, Manoj Kumar Mishra, Kashif Saleem, Mohammed El-Meligy

“…Meanwhile, optimizing DNNs architectures remains a challenge, as training these models is an NP-hard problem. Meta-heuristic algorithms offer an alternative to traditional gradient-based optimizers for improving DNNs performance. …”
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A Detection and Cover Integrated Waveform Design Method with Good Correlation Characteristics and Doppler Tolerance by Haoting Guo, Fulai Wang, Nanjun Li, Zezhou Wu, Chen Pang, Lei Zhang, Yongzhen Li

“…Aiming at the above problems, this paper proposes a waveform optimization method for a detection and cover integrated signal with high Doppler tolerance. …”
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CBSNet: An Effective Method for Potato Leaf Disease Classification by Yongdong Chen, Wenfu Liu

“…In addition, the Bat–Lion Algorithm (BLA) is introduced, which combines the Lion algorithm and the bat optimization algorithm and makes the optimization process more adaptive by using the bat algorithm to adjust the gradient direction during the updating process of the Lion algorithm. …”
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