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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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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Deep Learning Based DDoS Attack Detection by Xu Ziyi

“…Traditional approaches to detection, based on statistical thresholds and signature-based mechanisms, respectively, can hardly cope with the increasing complexity of such an attack. …”
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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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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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Enhanced Multi-Class Detection of Fake News by Chih-yuan Li, Soon Ae Chun, James Geller

“…The result indicates notable limitations in ChatGPT's automated classification, which highlights the complexities of AI-based categorization. Our findings demonstrate the CNN model's efficiency and effectiveness, and show the intricacies of fake news detection. …”
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Steel Defect Detection Based on YOLO-SAFD by Feihong Yu, Jinshan Zhang, Dingdiao Mu

“…Experimental results on the NEU-DET dataset demonstrate that YOLO-SAFD achieves a detection precision of 0.83, a recall of 0.75, and an mAP50:95 of 0.43, outperforming the baseline YOLOv5 and highlighting its superior detection accuracy and efficiency for real-time industrial applications.…”
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Dataset for Single Character Detection in Dongba Manuscripts by Yuqi Ma, Yongbo Li, Guang Long, Ruiyuan Li, Fengyuan Hu, Chenjun Xu, Yueran Wang, Maoling Peng, Xiaoliang Li, Shanxiong Chen

“…Through automated Dongba script detection technology, experts can efficiently extract precise text data from many manuscripts, providing essential support for the subsequent translation of Dongba script and constructing a corpus. …”
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Pupil Detection Algorithm Based on ViM by Yu Zhang, Changyuan Wang, Pengbo Wang, Pengxiang Xue

“…This algorithm introduces weighted feature fusion, aiming to enable the model to adaptively learn the contribution of different feature patches to the pupil detection results; combines ViM with the MSA (multi-head self-attention) mechanism), aiming to integrate global features and improve the accuracy and robustness of pupil detection; and uses FFT (Fast Fourier Transform) to convert the time-domain vector outer product in MSA into a frequency–domain dot product, in order to reduce the computational complexity of the model and improve the detection efficiency of the model. …”
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