BT-YOLO11: Automatic Driving Road Target Detection in Complex Scenarios by Qi Wang, Qi Long Wang

“…Due to the problems faced by autonomous driving scenarios in complex scenarios, generalized target detectors are challenged, especially the detection accuracy of occluded and small targets. …”
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Class-weighted Dempster–Shafer in dual-level fusion for multimodal fake real estate listings detection by Maifuza Mohd Amin, Nor Samsiah Sani, Mohammad Faidzul Nasrudin

“…To address these problems, a dual-level fusion from multimodal for fake real estate listings detection is proposed. …”
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Leveraging retinanet based object detection model for assisting visually impaired individuals with metaheuristic optimization algorithm by Alaa O. Khadidos, Ayman Yafoz

“…The DL-based methods remove the features autonomously and classify and detect the objects. …”
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K-Gen PhishGuard: an Ensemble Approach for Phishing Detection with K-Means and Genetic Algorithm by Ali Al-Hafiz, Adnan Jabir, Shamala Subramaniam

“… Phishing detection is considered a critical problem in cybersecurity, and utilising machine learning with an efficient feature selection method for precisely identifying malicious websites is deemed the most critical challenge. …”
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Research on defect perception model of distribution network based on big data analysis and waveform matching algorithm by LIN Kaifeng, LI Yiming, ZHANG Bo, YANG Changyu, ZHU Zeting, YANG Zhenda

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MOVING OBJECT DETECTION USING DISCRETE COSINE TRANSFORM BASED BACKGROUND SUBTRACTION by Sharmistha Puhan, Sambit Kumar Mishra, Deepak Kumar Rout

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MSTCNet: Toward Generalization Improving for Multiframe Infrared Small Target Detection by Ruining Cui, Na Li, Junfu Liu, Huijie Zhao

“…To solve the problems mentioned above, combining the concept of domain generalization (DG) in transfer learning, we propose a multiscale spatio-temporal feature combined network (MSTCNet). …”
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“Image-Spectral” fusion monitoring of peanut leaf spot disease level based on deep learning by Yongda Lin, Jiangtao Tan, Hong Li, Xi Li, Jianguo Wang, Tingting Chen, Lei Zhang

“…However, existing algorithms for peanut leaf disease detection techniques based on pictures or hyperspectral information still have problems with detection accuracy and stability. …”
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A Hybrid Deep Learning–Based Feature Selection Approach for Supporting Early Detection of Long-Term Behavioral Outcomes in Survivors of Cancer: Cross-Sectional Study by Tracy Huang, Chun-Kit Ngan, Yin Ting Cheung, Madelyn Marcotte, Benjamin Cabrera

“…MethodsWe devised a hybrid deep learning–based feature selection approach to support early detection of negative long-term behavioral outcomes in survivors of cancer. …”
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Problems and Collisions of Vaccinology by E. P. Kharchenko

“…The article discusses the limitations of the protective potential of the immune system associated with the peculiarities of the evolutionary mechanisms of the emergence of protein diversity and the late emergence in the evolution of the adaptive immune system, as well as problems associated with the formation of immunity to viral infections and immune collisions during vaccination. …”
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Phenomenological Features of Concentration by A.V. Melnikov, M.G. Yusupov

“…The purpose of this research is detection of the psychological and physiological features in students as they concentrate; in order to reveal the intensity of psychological and physiological manifestations of this state influencing the success of problem solving, frequency analysis is performed. …”
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Multiscale Attention Feature Fusion Based on Improved Transformer for Hyperspectral Image and LiDAR Data Classification by Aili Wang, Guilong Lei, Shiyu Dai, Haibin Wu, Yuji Iwahori

“…With the uninterrupted evolution of remote sensing data, the list of available data sources has expanded, effectively utilizing useful information from multiple sources for better land surface observation, which has become an intriguing and challenging problem. However, the complexity of urban areas and their surrounding structures makes it extremely difficult to capture correlations between features. …”
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SMS Scam Detection Application Based on Optical Character Recognition for Image Data Using Unsupervised and Deep Semi-Supervised Learning by Anjali Shinde, Essa Q. Shahra, Shadi Basurra, Faisal Saeed, Abdulrahman A. AlSewari, Waheb A. Jabbar

“…The growing problem of unsolicited text messages (smishing) and data irregularities necessitates stronger spam detection solutions. …”
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Robust Bi-CBMSegNet framework for advancing breast mass segmentation in mammography with a dual module encoder-decoder approach by Yu Wang, Mudassar Ali, Tariq Mahmood, Amjad Rehman, Tanzila Saba

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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 addition, high-precision positioning is not required in most applications since it is enough for people to know just the approximate location. To solve these problems, in this paper, an LED-ID detection and recognition method based on visible light positioning using proximity method is propose. …”
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SLAM Algorithm for Mobile Robots Based on Improved LVI-SAM in Complex Environments by Wenfeng Wang, Haiyuan Li, Haiming Yu, Qiuju Xie, Jie Dong, Xiaofei Sun, Honggui Liu, Congcong Sun, Bin Li, Fang Zheng

“…First of all, the state-of-the-art feature detection algorithm SuperPoint is used to extract the feature points from a visual-inertial system, enhancing the detection ability of feature points in complex scenarios. …”
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An efficient privacy-preserving multilevel fusion-based feature engineering framework for UAV-enabled land cover classification using remote sensing images by S. Nagadevi, G. Abirami, R. Brindha, T. Prabhakara Rao, Gyanendra Prasad Joshi, Woong Cho

“…Deep learning (DL) methods are essential for processing security problems in UAV networks. This paper presents a Privacy-Preserving Intrusion Detection Model for UAV-Based Remote Sensing Applications in Land Cover Classification Using Multilevel Fusion Feature Engineering (IDUAVRS-LCCMFFE) technique. …”
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Epidemiological features of Echinococcosis in Russia by Dr Larisa Ermakova, Ms Maria Chernikova, Dr Tatyana Tverdokhlebova, Professor Sergey Kozlov, Professor Natalia Pshenichnaya, Professor Evgenia Chernikova

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Multi-Scale Fusion Lightweight Target Detection Method for Coal and Gangue Based on EMBS-YOLOv8s by Lin Gao, Pengwei Yu, Hongjuan Dong, Wenjie Wang

“…Aiming at existing coal gangue detection methods, which have problems such as low detection accuracy and complex model structure, a multi-scale fusion lightweight coal gangue target detection method based on the EMBS-YOLOv8s model is proposed. …”
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Semantic Features-Based Discourse Analysis Using Deceptive and Real Text Reviews by Husam M. Alawadh, Amerah Alabrah, Talha Meraj, Hafiz Tayyab Rauf

“…The final results indicate that semantically aware features inspire more confidence to detect deception in text.…”
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