Optimized Marine Target Detection in Remote Sensing Images with Attention Mechanism and Multi-Scale Feature Fusion by Xiantao Jiang, Tianyi Liu, Tian Song, Qi Cen

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Learning dual context aware POI representations for geographic mapping by Quan Qin, Tinghua Ai, Shishuo Xu, Yan Zhang, Weiming Huang, Mingyi Du, Songnian Li

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Enhancing production rates at El Teniente's black cave mine through optimizing HF hole distribution using discrete fracture network modeling and geostatistical simulation methods by Amin Hekmatnejad, Fernando Manscilla, Paulina Schachter, Pengzhi Pan, Ehsan Mohtarami, Alvaro Pena, Abbas Taheri, Benoit Crespin, Francisco Moreno, Roberto Gonzales

“…These results are based on 12,000 realizations of discrete fracture network (DFN) models using R-Dis-Frag computer pacakge at real cave volumes of 200 m × 200 m × 200 m, with varying parameters, which significantly enhances their reliability. …”
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EnhanceCenter for improving point based tracking and rich feature representation by Hyun-Sung Yang, Sung-Wook Park, Se-Hoon Jung, Chun-Bo Sim

“…Second, the backbone network weights are optimized for multiple-object tracking tasks, enabling more effective feature extraction. …”
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CNN-Based End-to-End CPU-AP-UE Power Allocation for Spectral Efficiency Enhancement in Cell-Free Massive MIMO Networks by Yoon-Ju Choi, Ji-Hee Yu, Seung-Hwan Seo, Seong-Gyun Choi, Hye-Yoon Jeong, Ja-Eun Kim, Myung-Sun Baek, Young-Hwan You, Hyoung-Kyu Song

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Computationally Efficient Design of 16-Poles and 24-Slots IPMSM for EV Traction Considering PWM-Induced Iron Loss Using Active Transfer Learning by Soo-Hwan Park, Myung-Seop Lim

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Nature-inspired MPPT algorithms for solar PV and fault classification using deep learning techniques by S. Senthilkumar, V. Mohan, S. P. Mangaiyarkarasi, R. Gandhi Raj, K. Kalaivani, N. Kopperundevi, M. Chinnadurai, M. Nuthal Srinivasan, L. Ramachandran

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Human Activity Recognition Based on Point Clouds from Millimeter-Wave Radar by Seungchan Lim, Chaewoon Park, Seongjoo Lee, Yunho Jung

“…The proposed classification network achieved an accuracy of 95.54%, with 25.77 M multiply–accumulate operations and 22.28 K network parameters implemented in a 32 bit floating-point format. …”
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IoMT Architecture for Fully Automated Point-of-Care Molecular Diagnostic Device by Min-Gin Kim, Byeong-Heon Kil, Mun-Ho Ryu, Jong-Dae Kim

“…Traditional centralized laboratory testing introduces delays, limiting timely medical responses. While point-of-care molecular diagnostic (POC-MD) systems offer an alternative, challenges remain in cost, accessibility, and network inefficiencies. …”
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AMBWO: An Augmented Multi-Strategy Beluga Whale Optimization for Numerical Optimization Problems by Guoping You, Zengtong Lu, Zhipeng Qiu, Hao Cheng

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Adaptive Throughput Optimization in Multi-Rate IEEE 802.11 WLANs via Multi-Agent Deep Reinforcement Learning by Ming-Chu Chou, Cheng-Feng Hung, Chin-Ya Huang, Chih-Heng Ke

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Research on action matching of skeletal point coordinates and sports teaching application based on Open-pose by Shunmin Su

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Dynamic adaptive offloading method based on WPT-MEC by Lin SU, Xiaochao DANG, Zhanjun HAO, Chunrui RU, Xu SHANG

“…For the dynamic fading time-varying channel state information, a dynamic adaptive offloading (RLDO) method based on WPT-MEC was proposed to solve the task offloading and resource optimization problems for multiple users by combining wireless power transmission (WPT) technology and mobile edge computing (MEC).The wireless power transmission technology can provide energy to wireless end-user (WEU) and effectively alleviate the problem of limited energy supply from conventional batteries.To maximize the resource utilization, a wireless powered MEC network model was designed where the energy collected by the wireless end-user from the wireless access point (AP) was stored in a rechargeable battery, and then this energy was used for task computation or task offloading.The approach performed real-time offloading decisions through a fully connected deep neural networks (DNN) deployed in the MEC server.A fully binary offloading strategy was used for the offloading decision.Simulation results show that the computation rate of the method can still be maintained above 92% in a multi-user time-varying wireless channel-oriented environment.Compared with the basic method, it has great advantages in improving the calculation rate, reducing the delay and energy consumption，and effectively reduces computational complexity.…”
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Secure intelligent reflecting surface assisted mobile edge computing system with wireless power transfer by Dawei Wang, Xuanrui Li, Menghan Wu, Yixin He, Yi Lou, Yu Pang, Yi Lu

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A multi-view CNN model to predict resolving of new lung nodules on follow-up low-dose chest CT by Jingxuan Wang, Xiaowen Zhang, Wei Tang, Marcel van Tuinen, Rozemarijn Vliegenthart, Peter van Ooijen

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Graph neural network approach with spatial structure to anomaly detection of network data by Hao Zhang, Yun Zhou, Huahu Xu, Jiangang Shi, Xinhua Lin, Yiqin Gao

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CLOUD COMPUTING AND BIG DATA AS CONVERGENT TECHNOLOGIES FOR RETAIL PRICING STRATEGIES OF SMEs by George SUCIU, Gyorgy TODORAN, Adelina OCHIAN, Victor SUCIU, Janna CROPOTOVA

“…In this paper we describe a method to provide the mobile retail consumers with reviews, brand ratings and detailed product information at the point of sale. Furthermore, we present how we use Exalead CloudView platform to search for weak signals in big data by analyzing multimedia data (text, voice, picture, video) and mining online social networks. …”
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A Precise Detection Method for Tomato Fruit Ripeness and Picking Points in Complex Environments by Xinfa Wang, Xuan Wen, Yi Li, Chenfan Du, Duokuo Zhang, Chengxiu Sun, Bihua Chen

“…Firstly, the Depthwise Convolution (DWConv) module is utilized to substitute the C2f module within the backbone network. This substitution not only cuts down the model’s computational load but also simultaneously enhances the detection precision. …”
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MAFONN-EP: A Minimal Angular Feature Oriented Neural Network based Emotion Prediction system in image processing by L.B. Krithika, G.G. Lakshmi Priya

“…Reduced recognition rate, inefficient computation and increased time consumption are the major drawbacks of these techniques. …”
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Tri-Level Adaptive Robust Optimization for the Optimal Charging Coordination of EVs Considering Grid Impact by Jessica Alice A. Silva, Juan Camilo Lopez, Nataly Banol Arias, Lucas Zenichi Terada, Marcos J. Rider

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