AuxDepthNet: Real-Time Monocular 3D Object Detection with Depth-Sensitive Features by Ruochen Zhang, Hyeung-Sik Choi, Dongwook Jung, Phan Huy Nam Anh, Sang-Ki Jeong, Zihao Zhu

“…To overcome these limitations, we propose AuxDepthNet, an efficient framework for real-time monocular 3D object detection that eliminates the reliance on external depth maps or pre-trained depth models. …”
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A Novel YOLO Algorithm Integrating Attention Mechanisms and Fuzzy Information for Pavement Crack Detection by Qingqing Li, Tianshu Wu, Tingfa Xu, Jianmei Lei, Jiu Liu

“…In response, automated crack detection systems based on deep learning have emerged, offering more efficient and accurate solutions. …”
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Influence of Ligand Isomerism on the Photophysical Properties of AIPE-Active Rhenium(I) Complexes: Investigations with a 2-(1,2,3-Triazol-1-yl)pyridine (Tapy)-Based Complex and Its... by Abanoub Mosaad Abdallah, Mariusz Wolff, Nadine Leygue, Maëlle Deleuzière, Nathalie Saffon-Merceron, Charles-Louis Serpentini, Eric Benoist, Suzanne Fery-Forgues

“…This study shows how the ligand isomerism influences the optical properties of tricarbonylrhenium(I) complexes. It indicates that selecting the right pattern is a key factor for the design of efficient photoluminescent materials.…”
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EDB-Net: Efficient Dual-Branch Convolutional Transformer Network for Hyperspectral Image Classification by Hufeng Guo, Wenyi Liu

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An Electrochemical Sensor for the Simultaneous Detection of Pb²⁺ and Cd²⁺ in Contaminated Seawater Based on Intelligent Mobile Detection Devices by Zizi Zhao, Wei Qu, Chengjun Qiu, Yuan Zhuang, Kaixuan Chen, Yi Qu, Huili Hao, Wenhao Wang, Haozheng Liu, Jiahua Su

“…Traditional methods for detecting marine Pb²⁺ and Cd²⁺ rely on laboratory analyses, which are hindered by limitations such as sample degradation during transport and complex operational procedures. …”
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Improving Object Detection in High-Altitude Infrared Thermal Images Using Magnitude-Based Pruning and Non-Maximum Suppression by Yajnaseni Dash, Vinayak Gupta, Ajith Abraham, Swati Chandna

“…We converted dataset annotations from the COCO and PASCAL VOC formats to YOLO’s required format, enabling efficient model training and inference. The results demonstrate the proposed architecture’s superior speed and accuracy, effectively handling thermal signatures and object detection. …”
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INVESTIGATION AND COMPARISON OF CHATGPT AND GOOGLE GEMINI EFFICIENCY IN EDUCATION, DESIGN AND ENGINEERING ANALYSIS by H. Ghashochi Bargh, M. H. Sadr, A. Aghababaee

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Efficient hardware error correction with hybrid on-offline configuration algorithm for optical processor by Zichao Zhao, Huihui Zhu, Qishen Liang, Haoran Ma, Ziyi Fu, Xingyi Jiang, Bei Chen, Yuehai Wang, Tian Chen, Yuzhi Shi, Jianyi Yang

“…This innovative approach combines offline initial value presetting with online perturbed optimization iteration algorithm, enabling precise and highly efficient error correction. We benchmark the algorithm’s performance in complex-valued matrix configuration and classification tasks, demonstrating robust error correction capabilities, including high reconstruction fidelity (≥98%), rapid convergence (≤10 iterations), and reduced dependence on detection devices. …”
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(IoT) Network intrusion detection system using optimization algorithms by Luo Shan

“…Abstract To address the complex requirements of network intrusion detection in IoT environments, this study proposes a hybrid intelligent framework that integrates the Whale Optimization Algorithm (WOA) and the Grey Wolf Optimization (GWO) algorithm—referred to as WOA-GWO. …”
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FedEach: Federated Learning with Evaluator-Based Incentive Mechanism for Human Activity Recognition by Hyun Woo Lim, Sean Yonathan Tanjung, Ignatius Iwan, Bernardo Nugroho Yahya, Seok-Lyong Lee

“…In addition, FedEach maintains computational efficiency so that it is reliable for efficient FL applications such as sensor-based HAR with wearable devices and mobile sensing.…”
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THE PROBLEM OF ENERGY EFFICIENCY OF SYSTEMS BASED ON ARTIFICIAL INTELLIGENCE OF THE INTERNET OF THINGS (AIOT) by С. В. Войтко

“…It was determined that integrating artificial intelligence functionality into the IoT infrastructure provides the opportunity to store big data for processing using artificial intelligence elements capable of conducting predictive analysis to make informed management decisions. AIoT energy efficiency can be ensured on the basis of the following: selection of machine learning methods, hardware improvement, software optimization, network planning, effective model design, and energy consumption testing with subsequent conclusions for comprehensive improvement. …”
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Multitask semantic change detection guided by spatiotemporal semantic interaction by Yinqing Wang, Liangjun Zhao, Yueming Hu, Hui Dai, Yuanyang Zhang

“…Abstract Semantic Change Detection (SCD) aims to accurately identify the change areas and their categories in dual-time images, which is more complex and challenging than traditional binary change detection tasks. …”
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Data-Efficient Bone Segmentation Using Feature Pyramid- Based SegFormer by Naohiro Masuda, Keiko Ono, Daisuke Tawara, Yusuke Matsuura, Kentaro Sakabe

“…While Convolutional Neural Networks (CNNs) are commonly used for segmentation, they often struggle with complex shapes due to their focus on texture features and limited ability to incorporate positional information. …”
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A COGNITIVE APPROACH FORMING THE BASIS OF SYSTEM AND FINANCIAL ANALYSIS OF COMPLEX RESEARCH OBJECTS by A. N. Vetrov

“…It is based on the generated system of analytical coefficients, each representing a complex of parameters (indicators), echeloned for a series of portraits and stratified into several independent sets, arranged on two different levels of the selected hierarchy (structure).Conclusion. …”
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Spatial performance evaluation and optimization of integrated aboveground and underground spaces in urban commercial complexes by Xiaochun Hong, Shengcai Li, Tao Chen, Xiang Ji, Xinlan Song

“…Specific optimization directions for selected case studies are outlined. The study’s conclusions guide the scientific development of integrated spaces in urban commercial complexes, ultimately enhancing overall efficiency.…”
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Hydrothermal leaching behavior of a complex polymetallic secondary sulfide concentrate enhanced by ultrasonication by Liu Q.F., Liao Y.L., Li J.L., Wu M.

“…Complex polymetallic secondary sulfide concentrate (CPSSC) is difficult to be efficiently utilized because of its special mineral phase structure and high lead and iron content. …”
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Improved method for a pedestrian detection model based on YOLO by Yanfei LI, Chengyi DONG

“…The proposed method had superior performance in dense agricultural contexts while improving detection capabilities for pedestrian distribution patterns under complex farmland conditions, including variable lighting and mechanical occlusions. …”
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Formation of ternary organic acids-Fe-P complexes on the growth of wheat (Triticum aestivum) by Djalma E. Schmitt, Luciano C. Gatiboni, Daniel J. D. Orsoletta, Gustavo Brunetto

“…Two experiments were carried out to evaluate the formation of organic acid-Fe-P complexes in the laboratory and the efficiency of these complexes on the growth of wheat plants (T. aestivum) grown under greenhouse conditions. …”
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Asymmetric synthesis of stereogenic-at-iridium(III) complexes through Pd-catalyzed kinetic resolution by Yun-Peng Chu, Xue-Lin Yue, De-Hai Liu, Chuanyong Wang, Jiajia Ma

“…Notably, while asymmetric catalysis has played a crucial role in the production of optically active organic molecules, its application to stereogenic-at-metal complexes is less straightforward. In this study, we introduce a kinetic resolution strategy employing a Pd-catalyzed asymmetric Suzuki-Miyaura cross-coupling reaction that efficiently produces optically active stereogenic-at-iridium complexes from racemic mixtures with high selectivity (achieving an s-factor of up to 133). …”
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Development of educational complex on electrical engineering, electronics and microcon-trollers on modeling in TINA software by Vladimir A. Alekhin

“…The purpose of the research was a comparative analysis of various computer simulation programs in terms of their accessibility, ease of development and efficiency of use by lecturers and students in the educational process, and the creation and testing of a training complex for the electrical engineering, electronics and microcontrollers using the selected modeling environment.The problems associated with the need to purchase licensed software were discussed and a comparative analysis of the following computer modeling programs for electrical circuits and electronic circuits was performed: NI Multisim, Micro-Cap, Proteus VSM, OrCAD, TINA. …”
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