Small Target Detection Algorithm for UAV Aerial Images Based on Improved YOLOv7-tiny by ZHANG Guanghua, LI Congfa, LI Gangying, LU Weidang

“…This study proposes a small target detection algorithm for UAV aerial images using a ConvMixer detection head based on the improved YOLOv7-tiny to address the problems of missed detection and false detection caused by significant variations in target scale, densely distributed small-sized targets and complex backgrounds in UAV aerial images.MethodsFirst, the activation function LeakyReLU is replaced with SiLU to compensate for the limited nonlinear expression of LeakyReLU and to enhance convergence speed and model generalization during training. …”
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HSF-DETR: A Special Vehicle Detection Algorithm Based on Hypergraph Spatial Features and Bipolar Attention by Kaipeng Wang, Guanglin He, Xinmin Li

“…This paper proposes HSF-DETR (Hypergraph Spatial Feature DETR), integrating four innovative modules: a Cascaded Spatial Feature Network (CSFNet) backbone with Cross-Efficient Convolutional Gating (CECG) for enhanced long-range detection through hybrid state-space modeling; a Hypergraph-Enhanced Spatial Feature Modulation (HyperSFM) network utilizing hypergraph structures for high-order feature correlations and adaptive multi-scale fusion; a Dual-Domain Feature Encoder (DDFE) combining Bipolar Efficient Attention (BEA) and Frequency-Enhanced Feed-Forward Network (FEFFN) for precise feature weight allocation; and a Spatial-Channel Fusion Upsampling Block (SCFUB) improving feature fidelity through depth-wise separable convolution and channel shift mixing. …”
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DynaOOD-Net: Dynamic Progressive Feature Fusion and Energy Balancing for Robust Out-of-Distribution Detection by Jiting Zhou, Zhihao Zhou, Pu Zhang

“…Experimental results on seven datasets demonstrate that DynaOOD-Net significantly improves the mAP for known categories and consistently outperforms existing state-of-the-art methods in unknown object detection metrics. These findings establish DynaOOD-Net as a robust and efficient solution to the challenges inherent in open-set object detection. …”
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YOLOv8-eRFD-AP: A Novel Domain Generalization Model for UAV-Based Insulator Inspection Under Adverse Weather Conditions by Badr-Eddine Benelmostafa, Rita Aitelhaj, Hicham Medromi

“…Experimental results confirm that YOLOv8-eRFD-AP outperforms state-of-the-art models, including YOLOv11, YOLOv12, and Real-Time Detection Transformer (RT-DETR), in both clear and adverse weather settings. …”
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Lightweight coal miners and manned vehicles detection model based on deep learning and model compression techniques: A case study of coal mines in Guizhou region by Beijing XIE, Heng LI, Zheng LUAN, Zhen LEI, Xiaoxu LI, Zhuo LI

“…Balancing between model detection performance and efficiency poses many challenges. …”
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ASIC Design for Real-Time CAN-Bus Intrusion Detection and Prevention System Using Random Forest by Junseok Lee, Sangmin Park, Sua Shin, Hyungchul Im, Joosock Lee, Seongsoo Lee

“…In this study, a random-forest-based intrusion detection system (RF-IDS) was proposed and integrated with a CAN controller to design a system that can perform real-time detection and attack blocking. …”
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Technology and application of treating water inrush disasters in underground engineering with the method of physical detection combined with grouting by Huangbin Jiang, Huangbin Jiang, Chu Jiang, Chu Jiang, Di Chen, Di Chen, Xiang Qiu, Xiang Qiu

“…Then, based on the results of physical detection, select appropriate grouting materials and techniques to conduct water blocking treatment at the water gushing points and effectively block the water gushing paths. …”
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A nanofilm‐based fluorescent sensor for determination and identification of gas‐phase alkylamine by Jiahui Hu, Xiangquan Liu, Hexi Wei, Rongrong Huang, Binbin Zhai, Yan Luo, Junbao Yan, Lingya Peng, Mei Liu, Yu Fang

“…Abstract On‐site and real‐time detection and identification of alkylamines are important, but remain as a challenge. …”
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Simultaneous stability-indicating analysis of nateglinide and pioglitazone using RP-HPLC by Sriparni Das, Suddhasattya Dey, Shahreja Parvej, Tapan Dutta, Anjan De, Chanchal Koley, Padmacharan Behra, Anjan Mondal, Sudip Pratihar, Saptarshy Sarkar, Arijit Mondal, Aliviya Das, Bishal Banerjee

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Mixed image detection method of belt coal blockage and leakage based on improved RetinaNet mode by Qingjun Fu, Xiang Liu, Yinqiang Yan, Zhibin Guo

“…A hybrid image detection method based on improved RetinaNet model is proposed. …”
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REQUIREMENTS FOR EFFICIENT PCR CLAMPING BY LOCKED NUCLEIC ACID OLIGONUCLEOTIES FOR SIMPLE AND SENSITIVE DETECTION OF SOMATIC MUTATIONS by V. A. Shamanin, I. V. Karpov, E. E. Pisareva, N. I. Gutkina, S. P. Kovalenko

“…PCR clamping/wild-type blocking PCR with non-extendable locked nucleic acid (LNA) oligonucleotides is used for sensitive detection of somatic mutations in tumors. …”
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Utility of Bispectral Index Monitor as a Tool to Detect and Manage Intraoperative Seizure: A Case Series by Sandeep Dey, Megha Tyagi, Amit Goyal, Pallav Kumar

“…Conventional electroencephalogram (EEG) has been the most common method to detect and manage seizure episodes. Limitations to its use in the intraoperative period during neurosurgical cases have made detecting intraoperative seizure almost impractical, especially in the presence of a neuromuscular blocking agent. …”
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A directed greybox fuzzer for windows applications by Xin Ren, Peng-fei Wang, Xu Zhou, Kai Lu

“…The results demonstrate that WinDGF substantially enhances test case exploration and vulnerability detection capabilities. Compared to WinAFL, WinDGF_path and WinDGF_keyblock show an average increases of 31.72% and 79.48% , respectively, in the number of unique crashes discovered. …”
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Interpretable multi-horizon time series forecasting of cryptocurrencies by leverage temporal fusion transformer by Arslan Farooq, M. Irfan Uddin, Muhammad Adnan, Ala Abdulsalam Alarood, Eesa Alsolami, Safa Habibullah

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D-DDPM: Deep Denoising Diffusion Probabilistic Models for Lesion Segmentation and Data Generation in Ultrasound Imaging by Abdalrahman Alblwi, Saleh Makkawy, Kenneth E. Barner

“…Our model incorporates a nested U-Net architecture with Residual U-blocks (RSU), significantly improving feature learning and segmentation precision. …”
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ON DISCRETE STRUCTURE OF GEOLOGIC MEDIUM AND CONTINUAL APPROACH TO MODELING ITS MOVEMENTS by Sh. A. Mukhamediev

“…Authors who support the second opinion, either explicitly or implicitly assume that the block structure of the geologic medium, which is detectable by geological methods, makes a direct and unambiguous impact on all other mechanical properties of the geologic medium and, above all, on the nature of its movements.Based on results obtained by interpreting the data collected in our long-term field studies of rock fracturing, mathematical processing of GPS-measurements, and theoretical models, we agree with the concept of the geologic medium’s block structure, but argue that the geologic block-structure property is not acquired but congenital. …”
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P4CN-YOLOv5s: a passion fruit pests detection method based on lightweight-improved YOLOv5s by Zhiping Tan, Zhiping Tan, Dapeng Ye, Jiancong Wang, Wenxiang Wang

“…Subsequently, a convolutional block attention module (CBAM) and optimized anchor boxes are employed to reduce the false detection rate of the model. …”
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AI-Assisted Web Application for Leukocyte Abnormality Counting With YOLOv11 and Smartphone Microscopy by Natthakorn Kasamsumran, Piyalitt Ittichaiwong, Chutinart Chinudomporn, Kanyakorn Veerakanjana, Ekapun Karoopongse, Wanchalerm Pora

“…To address these limitations, we propose an AI-powered web application that utilizes YOLOv11 with enhanced small object detection capabilities, enabled by integrating our C3k2-Conv blocks, an architecture inspired by C3k2. …”
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ADCGNet: Attention-based dual channel Gabor network towards efficient detection and classification of electrocardiogram images by Joseph Roger Arhin, Xiaoling Zhang, Kenneth Coker, Isaac Osei Agyemang, Wisdom Kwame Attipoe, Francis Sam, Isaac Adjei-Mensah, Emmanuel Agyei

“…ADCGNet involves pre-processing every ECG beat into two-dimensional images using Analytical Morlet transform and then applying thirty-two Gabor filters and Sobel edge detection to enhance features. ADCGNet comprises three blocks, with the first block using dual channels to extract essential features in the images efficiently. …”
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Implementation of Blockchain Technology for Image Plagiarism Detection Using DCT, AES128, and SHA-1 Algorithms by Filbert Duran, Leonardo, Shickhem, Yennimar

“…Fundamentally more than just a collection of interconnected blocks, blockchain is characterized by the systematic recording of digital signatures or hashes of each block. …”
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