Attention Enhanced InceptionNeXt-Based Hybrid Deep Learning Model for Lung Cancer Detection by Burhanettin Ozdemir, Emrah Aslan, Ishak Pacal

“…By optimizing and integrating grid and block attention mechanisms with InceptionNeXt blocks, the proposed model effectively captures both fine-grained and large-scale features in CT images. …”
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CD-STMamba: Toward Remote Sensing Image Change Detection With Spatio-Temporal Interaction Mamba Model by Shanwei Liu, Shuaipeng Wang, Wei Zhang, Tao Zhang, Mingming Xu, Muhammad Yasir, Shiqing Wei

“…Change detection (CD) is a critical Earth observation task. …”
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Deep CNN ResNet-18 based model with attention and transfer learning for Alzheimer's disease detection by Sofia Biju Francis, Sofia Biju Francis, Jai Prakash Verma

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Comparison of molecular with conventional methods for detection of genital tuberculosis in infertile women: A comparative prospective study by Anupama Hari, Anusha Reddy Thota, Sravanthi Katamreddy

“…Moreover, 68% of the participants had patent tubes on HSG, 7% had a right tubal block, 9% had a left tubal block, 14% had a bilateral tubal block, and 2% had a unicornuate uterus. …”
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Knock Detection in Spark Ignition Engines Base on Complementary Ensemble Empirical Mode Decomposition-Hilbert Transform by Fengrong Bi, Teng Ma, Jian Zhang, Lin Li, Chunfang Shi

“…This paper reports an investigation of knock detection in spark ignition (SI) engines using CEEMD-Hilbert transform based on the engine cylinder pressure signals and engine cylinder block vibration signals. …”
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AJANet: SAR Ship Detection Network Based on Adaptive Channel Attention and Large Separable Kernel Adaptation by Yishuang Chen, Jie Chen, Long Sun, Bocai Wu, Hui Xu

“…In addition, a large kernel attention block with adaptive kernel size is introduced to automatically adjust the receptive field designed to extract abundant context information at different detection layers. …”
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Detection of Enhanced Germanium in a New Cool Extreme Helium Star A980: Insights and Implications by Ajay Kumar Saini, Gajendra Pandey

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Research on Underwater Small Target Detection Technology Based on Single-Stage USSTD-YOLOv8n by Weiguo Yi, Jinwei Yang, Lingwei Yan

“…Aiming at the problem of low visibility of underwater environment, which leads to the leakage of small target detection and low accuracy, this paper proposes an improved algorithm USSTD-YOLOv8n (Underwater small-size target detection YOLOv8n) based on YOLOv8n. …”
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The AlexNet HSD model for industrial heritage damage detection and adaptive reuse under artificial intelligence by Huiling Zhang

“…This work optimizes the structure of the traditional AlexNet HSD (Alex Krizhevsky Network Hierarchical Structure Detection) model. By integrating the Convolutional Block Attention Module (CBAM) and Support Vector Machine (SVM), an AlexNet HSD + CBAM + SVM (AlexNet HCS) model is proposed to enhance the performance of industrial heritage damage detection. …”
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Lung-AttNet: An Attention Mechanism-Based CNN Architecture for Lung Cancer Detection With Federated Learning by Chamak Saha, Somak Saha, Md. Asadur Rahman, Md. Mahmudul Haque Milu, Hiroki Higa, Mohd Abdur Rashid, Nasim Ahmed

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SSCD-YOLO: Semi-Supervised Cross-Domain YOLOv8 for Pedestrian Detection in Low-Light Conditions by Fangliang Cao, Kai Yan, Hongliang Chen, Zhen Wang, Yunliang Du, Zekang Zheng, Kefan Li, Baozhu Qi, Mingjia Wang

“…These enhancements achieve complementary information exchange between infrared and visible images, thereby improving the robustness and accuracy of the cross-domain object detection model. Second, the Mean Teacher approach is combined with the YOLOv8 detector, the EMA module is added to the output part of the YOLOv8 detection head, and the Swin Transformer block is used to enhance the C2f module of YOLOv8. …”
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HPRT-DETR: A High-Precision Real-Time Object Detection Algorithm for Intelligent Driving Vehicles by Xiaona Song, Bin Fan, Haichao Liu, Lijun Wang, Jinxing Niu

“…To address these challenges, we propose a High-Precision Real-Time object detection algorithm (HPRT-DETR). We designed a Basic-iRMB-CGA (BIC) Block for a backbone network that efficiently extracts features and reduces the model’s parameters. …”
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YOLO-DroneMS: Multi-Scale Object Detection Network for Unmanned Aerial Vehicle (UAV) Images by Xueqiang Zhao, Yangbo Chen

“…Therefore, UAV object detection is an essential yet challenging task. This paper proposes a multi-scale object detection network, namely YOLO-DroneMS (You Only Look Once for Drone Multi-Scale Object), for UAV images. …”
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A Lightweight and High-Performance YOLOv5-Based Model for Tea Shoot Detection in Field Conditions by Zhi Zhang, Yongzong Lu, Yun Peng, Mengying Yang, Yongguang Hu

“…Accurate detection of tea shoots in field conditions is a challenging task for production management and harvesting in tea plantations. …”
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Mamba-YOLO-ML: A State-Space Model-Based Approach for Mulberry Leaf Disease Detection by Chang Yuan, Shicheng Li, Ke Wang, Qinghua Liu, Wentao Li, Weiguo Zhao, Guangyou Guo, Lai Wei

“…We propose Mamba-YOLO-ML, an optimized model addressing three key challenges in vision-based detection: Phase-Modular Design (PMSS) with dual blocks enhancing multi-scale feature representation and SSM selective mechanisms and Mamba Block, Haar wavelet downsampling preserving critical texture details, and Normalized Wasserstein Distance loss improving small-target robustness. …”
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Progressive Self-Prompting Segment Anything Model for Salient Object Detection in Optical Remote Sensing Images by Xiaoning Zhang, Yi Yu, Daqun Li, Yuqing Wang

“…With the continuous advancement of deep neural networks, salient object detection (SOD) in natural images has made significant progress. …”
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LinRegDroid: Detection of Android Malware Using Multiple Linear Regression Models-Based Classifiers by Durmus Ozkan Sahin, Sedat Akleylek, Erdal Kilic

“…In this study, a framework for Android malware detection based on permissions is presented. This framework uses multiple linear regression methods. …”
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Unsupervised Anomaly Detection Method for Electrical Equipment Based on Audio Latent Representation and Parallel Attention Mechanism by Wei Zhou, Shaoping Zhou, Yikun Cao, Junkang Yang, Hongqing Liu

“…The stable operation of electrical equipment is critical for industrial safety, yet traditional anomaly detection methods often suffer from limitations, such as high resource demands, dependency on expert knowledge, and lack of real-world capabilities. …”
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Corrosion Detection and Grading Method for Hydraulic Metal Structures Based on an Improved YOLOv10 Sequential Architecture by Haodong Cheng, Fei Kang

“…To achieve accurate detection of corrosion targets, the MobileViTv3 block is integrated into YOLOv10, resulting in the proposed YOLOv10-vit for corrosion target detection. …”
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Flowering Index Intelligent Detection of Spray Rose Cut Flowers Using an Improved YOLOv5s Model by Junyan Li, Ming Li

“…By incorporating small-scale anchor boxes and small object feature output, the model enhanced the annotation accuracy and the detection precision for occluded rose flowers. Additionally, a convolutional block attention module attention mechanism was integrated into the original network structure to improve the model’s feature extraction capability. …”
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