A one-stage anchor-free keypoints detection model for fast electric vehicle charging port detection and pose extraction by Feifei Hou, Qiwen Meng, Xinyu Fan, Yijun Wang

“…Experiments demonstrate that in complex lighting scenarios, FasterEVPoints boasts 95% detection accuracy on a proprietary dataset with a positioning error of less than 2 cm at a 50 cm distance. …”
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Factor interaction in prevention of torture Reflections based on Carver and Handley’s research (with Comment by the authors of the book and Response by the author of the paper) by Hans Draminsky Petersen

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Audio Deepfake Detection Using Deep Learning by Ousama A. Shaaban, Remzi Yildirim

“…ABSTRACT This study introduces an enhanced Siamese convolutional neural network (Siamese CNN) architecture with a novel StacLoss function and self‐attention modules for efficient identification of audio deepfakes. Our module directly compares unprocessed original audio with modified audio by initially applying convolutional operations and dual branches to extract complex characteristics from raw audio signals. …”
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Advanced Object Detection for Maritime Fire Safety by Fazliddin Makhmudov, Sabina Umirzakova, Alpamis Kutlimuratov, Akmalbek Abdusalomov, Young-Im Cho

“…To address the specific challenges of shipboard fire and smoke detection, such as varying lighting conditions, occlusions, and the complex structure of ships, we enhance the baseline DETR model by integrating EfficientNet-B0 as the backbone. …”
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Lightweight blasthole image detection and positioning method by Shan PAN, Ting YU, Zhongwen YUE, Zijian TIAN, Qingyu JIN

“…The intelligent advancement of explosive-charging robotic arms is critical to achieving safe and efficient explosive filling in tunnel blasting operations, with the blasthole image detection algorithm serving as the core component of the intelligent control system for these robotic arms. …”
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BERT-based network for intrusion detection system by Yong Yang, Xing Peng

“…Abstract The rising complexity of cyberattacks poses significant challenges to traditional intrusion detection system (IDS). …”
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Deep Learning Based DDoS Attack Detection by Xu Ziyi

“…Results reflect the potential superiority of the given model in detecting DDoS attacks. …”
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Recursive Sentiment Detection Algorithm for Russian Sentences by Anatoliy Y. Poletaev, Ilya V. Paramonov

“…To measure the algorithm efficiency on complex sentences, we created OpenSentimentCorpus based on OpenCorpora, an open corpus of sentences extracted from Russian news and periodicals. …”
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Exploring feature sparsity for out-of-distribution detection by Qichao Chen, Kuan Li, Zhiyuan Chen, Tomas Maul, Jianping Yin

“…Our framework has two types of workflows depending on if external OOD data is available, the complexity of the original training loss is sharply reduced by adopting this modification, meanwhile, the adapted ability and detection performance are enhanced. …”
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Automated anomaly detection of IPTV user experience by Xiaomin TAN, Ai FANG, Duo JIN, Changjiang LI

“…The practice indicates that the algorithm with low calculation cost adapts to abnormal changes in the network and detect anomalies accurately and quickly, which reduces labor costs, improves operation efficiency and promotes intelligent operation.…”
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Survey on Image-Based Vehicle Detection Methods by Mortda A. A. Adam, Jules R. Tapamo

“…However, achieving robust detection remains challenging due to scene complexity, occlusion, scale variation, and varying lighting conditions. …”
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Research on lidar target detection for metro scene by PAN Wenbo, LI Cheng, YUAN Xiwen, LONG Teng, ZENG Xiang, XIE Guotao

“…Aiming at the problems of difficult real-time construction of train running forward boundary and complex cluster detection of unstructured track and road environment targets, a lidar based on target detection and forward boundary real-time construction system was proposed. …”
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Molecular imprinting and nanomaterial synergy for lactate detection by Christopher Animashaun, Gymama Slaughter

“…Key fabrication strategies, such as electropolymerization, green nanomaterial synthesis, and surface imprinting, are critically examined for their roles in optimizing imprinting sensitivity and electron transfer efficiency. Application areas span real-time lactate monitoring in wearable health devices to environmental surveillance in complex matrices. …”
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Examining the Efficiency of Learning-Based Algorithms in the Process of Declaring Customs by Mustafa Günerkan, Ender Şahinaslan, Önder Şahınaslan

“…In the face of the diversity, dynamism, and complexity of the methods used in creating this declaration, human-induced declaration files are produced erroneously. …”
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Design and Optimization of an Integrated Visible Light Communication and Localization System Using Liquid Crystal Based-RIS Receivers by Raphael Ahiaklo-Kuz, Sylvester Aboagye, Omar Maraqa, Telex M. N. Ngatched

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An overview of ahead geological detection technologies in tunnels by Dingchao Chen, Xiangyu Wang, Jianbiao Bai, Yuan Chu, Xian Wang, Jiaxin Zhao, Menglong Li

“…The rapid advancement of ahead geological detection technologies has been crucial to addressing the challenges posed by complex underground environments in tunnel construction. …”
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Anatomy of Deep Learning Image Classification and Object Detection on Commercial Edge Devices: A Case Study on Face Mask Detection by Dimitrios Kolosov, Vasilios Kelefouras, Pandelis Kourtessis, Iosif Mporas

“…Developing efficient on-the-edge Deep Learning (DL) applications is a challenging and non-trivial task, as first different DL models need to be explored with different trade-offs between accuracy and complexity, second, various optimization options, frameworks and libraries are available that need to be explored, third, a wide range of edge devices are available with different computation and memory constraints. …”
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Estimating Performance Efficiency of Mining and Extracting Sectors Using DEA Models: The Case of Jordan by Jamil J. Jaber, Fatiha Beldjilali, Ali A. Shehadeh, Nawaf N. Hamadneh, Mohammad Saleh, Muhammad Tahir, S. Al Wadi

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Intrusion detection method for IoT in heterogeneous environment by LIU Jing, MU Zelin, LAI Yingxu

“…In order to address the issue of inadequate training efficiency and subpar model performance encountered by Internet of things (IoT) devices when dealing with resource constraints and non-independent and identically distributed (Non-IID) data, a novel personalized pruning federated learning frame work for IoT intrusion detection was put forth. …”
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Real-Time Stringing Detection for Additive Manufacturing by Oumaima Charia, Hayat Rajani, Inés Ferrer Real, Miquel Domingo-Espin, Nuno Gracias

“…To address data scarcity in training machine learning models, we also release a new dataset and improve upon the results achieved by the Obico server model, one of the most prominent tools for stringing detection. Our contributions aim to enhance process reliability, reduce material wastage, and optimize time efficiency in AM workflows.…”
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