Multi-Modal Deep Learning for Lung Cancer Detection Using Attention-Based Inception-ResNet by Mohamed Hosny, Ibrahim A. Elgendy, Mousa Ahmad Albashrawi

“…Deep learning (DL) has emerged as a powerful alternative to autonomously identify complex patterns within radiological and histopathological images. …”
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Small Target Detection Algorithm for UAV Aerial Images Based on Improved YOLOv7-tiny by ZHANG Guanghua, LI Congfa, LI Gangying, LU Weidang

“…Five images featuring dense targets, minimal targets, dark scenes, occluded targets, and complex backgrounds are randomly selected from the Visdrone2021 test challenge set to evaluate detection performance in UAV aerial images. …”
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Efficient Video Compression Using Afterimage Representation by Minseong Jeon, Kyungjoo Cheoi

“…The proposed approach utilizes optical flow to adaptively select the number of keyframes based on scene complexity, optimizing compression efficiency. …”
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Mitigating Container Damage and Enhancing Operational Efficiency in Global Containerisation by Sergej Jakovlev, Tomas Eglynas, Mindaugas Jusis, Valdas Jankunas, Miroslav Voznak

“…To address these concerns, we present the Impact Detection Methodology (IDM), a system designed to monitor and detect impacts in real time, enhancing operational precision and safety. …”
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Research on a Visually Assisted Efficient Blind-Guiding System and an Autonomous Shopping Guidance Robot Arm Adapted to the Complex Environment of Farmers’ Markets by Mei Liu, Yunhua Chen, Jinjun Rao, Wojciech Giernacki, Zhiming Wang, Jinbo Chen

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Efficient Explainable Models for Alzheimer’s Disease Classification with Feature Selection and Data Balancing Approach Using Ensemble Learning by Yogita Dubey, Aditya Bhongade, Prachi Palsodkar, Punit Fulzele

“…This framework is interpretable and helps medical practitioners learn complex patterns in patients. <b>Method:</b> This study addresses these issues by employing boosting algorithms, for enhanced classification accuracy. …”
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GrainNet: efficient detection and counting of wheat grains based on an improved YOLOv7 modeling by Xin Wang, Changchun Li, Chenyi Zhao, Yinghua Jiao, Hengmao Xiang, Xifang Wu, Huabin Chai

“…Additionally, the ASF-Gather and Distribute (ASF-GD) module optimizes the feature extraction component of the original YOLOv7 network, improving the model’s robustness and accuracy in complex scenarios. Ablation experiments validate the effectiveness of the proposed methods.Compared with classic models such as Faster R-CNN, YOLOv5, YOLOv7, and YOLOv8, the GrainNet model achieves better detection performance and computational efficiency in various scenarios and adhesion levels. …”
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Technical progress of construction and safe operation of underground gas storage under complex geological conditions by Qiqi WANYAN, Yun WANG, Dongxu LI, Hongcheng XU, Chun LI, Kang LI, Jingcui LI, Lifeng LI

“…In view of the characteristics of the developed gas reservoir fault system, largely buried depth, strong heterogeneity and complex gas-water distribution, breakthroughs were made in the construction and operation of gas reservoir and salt cavern type gas storages in China through over 20 years of hard working in research, and five technology series were formed, including (1) storage site selection and evaluation technology, (2) storage capacity design and evaluation technology, (3) efficient wellbore quality control technology, (4) large displacement injection-production design technology, and (5) risk identification and monitoring technology. …”
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Reliable and efficient magnetic data inversion for resource detection using a hybrid bat algorithm by Khalid S. Essa, Mahmoud Elhussein, Omar A. Gomaa, Zein E. Diab

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Nighttime Vehicle Detection Algorithm Based on Improved YOLOv7 by Fan Zhang

“…Visualization results validate the robustness of the algorithm in long-distance, multi-target, and complex lighting scenarios. This study provides a high-precision real-time detection solution for nighttime environment sensing for autonomous driving.…”
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The Method of Selecting Boiler Houses under Technical Re-Equipment in a Mini-CHP by Myshkina L.S., Frolova Y.A., Ivanova E.M.

“…The significance of the results lies in the fact that the proposed methodology makes it possible to increase the validity of decisions when transforming a boiler house into a mini-CHPP. The use of the selection results will lead to an increase in the economic efficiency of the heat supply system. …”
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PrivBCS: a privacy-preserving and efficient crowdsourcing system with fine-grained worker selection based on blockchain by Juan Chen, Wei Liang, Lijun Xiao, Ce Yang, Ronglin Zhang, Zhenwen Gui, Aneta Poniszewska-Marańda

“…Crowdsourcing takes advantage of human intelligence to solve complex problems that computers cannot handle. People actively participate in computational tasks for rewards, especially those that are relatively simple for humans but challenging for computers. …”
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An efficient method for the selective isolation of feline herpesvirus 1(FHV-1) in feline calicivirus (FCV) coinfected specimens by Huanqin Zheng, Hong Yue, Baoyan Wang, Xin Yu, Yang Liu, Jiayu Yu, Jianlong Zhang, Kexue Han, Yinuo Han, Hanfeng Su, Hongwei Zhu, Xingxiao Zhang

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Algorithm for Selection Equipment to Reduce the Technogenic Effect on the Environment by Kozii I.S., Plyatsuk L.D., Koval V.V.

“…The work is devoted to the development of an algorithm for selection dust and gas purification equipment in order to reduce the anthropogenic impact on the environment from emissions of the heat, power and chemical industries, which are sources of complex environmental pollution. …”
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YOLO-GL for efficient multi-target detection in large FOV via hierarchical feature fusion by Xinyu Chen, Chengjun Dong, Tong Cui, Guangming Lv, Yan Ren

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YOLOv8n-DDSW: an efficient fish target detection network for dense underwater scenes by Jinwang Yi, Wei Han, Fangfei Lai

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UAV-DETR: An Enhanced RT-DETR Architecture for Efficient Small Object Detection in UAV Imagery by Yu Zhou, Yan Wei

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Towards Efficient SAR Ship Detection: Multi-Level Feature Fusion and Lightweight Network Design by Wei Xu, Zengyuan Guo, Pingping Huang, Weixian Tan, Zhiqi Gao

“…Thus, guided by the principles of lightweight design, robustness, and energy efficiency optimization, this study proposes a three-stage collaborative multi-level feature fusion framework to reduce model complexity without compromising detection performance. …”
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Efficient wildlife monitoring: Deep learning-based detection and counting of green turtles in coastal areas by Naoya Noguchi, Hideaki Nishizawa, Taro Shimizu, Junichi Okuyama, Shohei Kobayashi, Kazuyuki Tokuda, Hideyuki Tanaka, Satomi Kondo

“…However, accurately detecting animals remains challenging, especially in complex field environments. …”
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Investigation of an Efficient Multi-Class Cotton Leaf Disease Detection Algorithm That Leverages YOLOv11 by Fangyu Hu, Mairheba Abula, Di Wang, Xuan Li, Ning Yan, Qu Xie, Xuedong Zhang

“…By integrating a medical image segmentation model, it effectively tackles challenges including complex background interference, the missed detection of small targets, and restricted generalization ability. …”
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