Research and Implementation of Image Super Resolution Reconstruction Technology in Python Deep Learning Framework by Qiu Bohan

“…Firstly, the article outlines the basic concept of image super-resolution and points out that in practical applications, the main challenges in current technological development include the demand for computing resources, data problems, model complexity, authenticity of image reconstruction, and robustness of models. …”
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Multimodal intelligent biosensors framework for fall disease detection and healthcare monitoring by Iqra Aijaz Abro, Shuaa S. Alharbi, Naif S. Alshammari, Asaad Algarni, Nouf Abdullah Almujally, Ahmad Jalal, Ahmad Jalal, Hui Liu, Hui Liu, Hui Liu

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Embedded Image and Video Coding Algorithm Based on Adaptive Filtering Equation by Zhe Fu

“…The collected video information is stored on a personal computer equipped with a freeness, and external electronic devices only need to download and install the browser, and the collected video information can be accessed in the local area network through the protocol. …”
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Extending WSN Lifetime with Enhanced LEACH Protocol in Autonomous Vehicle Using Improved K-Means and Advanced Cluster Configuration Algorithms by Cheolhee Yoon, Seongsoo Cho, Yeonwoo Lee

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Topology Unveiled: A New Horizon for Economic and Financial Modeling by Yicheng Wei, Junzo Watada, Zijin Wang

“…By collecting abundant literature indexed in SCOPUS/WoS and other famous databases, with a qualitative analysis to classify and summarize it, we found that topological methods were introduced to modern economics when dealing with dynamic optimization, functional analysis, and convex programming problems, including famous applications such as uncovering equilibrium with fixed-point theorems in Walrasian economics. …”
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LCDDN-YOLO: Lightweight Cotton Disease Detection in Natural Environment, Based on Improved YOLOv8 by Haoran Feng, Xiqu Chen, Zhaoyan Duan

“…Additionally, the CBAM attention mechanism is incorporated into the neck network to improve model performance. A Focal-EIoU loss function is also integrated to optimize the model’s training process. …”
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Deep learning-based energy efficient LSFD weights prediction for user centric cell free massive MIMO system by Moustafa Mohamed, Salwa El-Ramly, Bassant Abdelhamid

“…Two deep neural network models are proposed called Per User Equipment Deep Neural Network (PUEDNN) and Per Access Point Deep Neural Network (PAPDNN). …”
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Brain-Shapelet: A Framework for Capturing Instantaneous Abnormalities in Brain Activity for Autism Spectrum Disorder Diagnosis by Yijie Ren, Zhengwang Xia, Yudong Zhang, Zhuqing Jiao

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RepVGG-MEM: A Lightweight Model for Garbage Classification Achieving a Balance Between Accuracy and Speed by Qiuxin Si, Sang Ik Han

“…Furthermore, the model’s redundancy is minimized through pruning techniques, which significantly reduce both complexity and computational overhead. The optimal pruned version of the model is designated as RepVGG-MEM5. …”
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SimulatorOrchestrator: A 6G-Ready Simulator for the Cell-Free/Osmotic Infrastructure by Rohin Gillgallon, Reham Almutairi, Giacomo Bergami, Graham Morgan

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MultiDistiller: Efficient Multimodal 3D Detection via Knowledge Distillation for Drones and Autonomous Vehicles by Binghui Yang, Tao Tao, Wenfei Wu, Yongjun Zhang, Xiuyuan Meng, Jianfeng Yang

“…To address the insufficient cross-modal feature extraction capability, we enhance the student network’s image features using the teacher network’s point cloud spatial priors, thereby constructing a LiDAR-image cross-modal feature alignment mechanism. …”
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A Lightweight Citrus Object Detection Method in Complex Environments by Qiurong Lv, Fuchun Sun, Yuechao Bian, Haorong Wu, Xiaoxiao Li, Xin Li, Jie Zhou

“…Secondly, a lightweight neck network is constructed using Grouped Shuffle Convolution (GSConv) to simplify computational complexity. …”
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Environmental sustainability indicators applied to bioprocesses: a bibliometric analysis (2005–2024) by Anibal Alviz-Meza, Segundo Rojas-Flores, Ángel Darío González-Delgado

“…The synergy between traditional methodologies and advanced computational approaches constitutes the ideal framework to optimize the sustainability of bioprocesses, establishing a solid base for future research in this field.…”
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Research on nonlinear constraint assessment model of power grid based on generalized Benders decomposition by Bo Jia, Le Kang, Yide Xie, Yue Xu

“…The generalized Benders decomposition method is used to decompose the model into main problem and sub-problems, the main problem is solved iteratively by linear evaluation, and the sub-problems are solved iteratively by interior point method. The results show that the model and algorithm are effective in terms of planning cost and computational efficiency, taking the 24-node distribution network as the experimental object. …”
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Deep learning for property prediction of natural fiber polymer composites by Ivan P. Malashin, Dmitry Martysyuk, Vladimir Nelyub, Aleksei Borodulin, Andrei Gantimurov, Vadim Tynchenko

“…Abstract The increasing availability of diverse experimental and computational data has accelerated the application of deep learning (DL) techniques for predicting polymer properties. …”
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Research review on intelligent object detection technology for coal mines based on deep learning by Fan ZHANG, Jiarong ZHANG, Haixing CHENG

“…Then, key technologies such as data augmentation, super-resolution, and feature extraction for intelligent target detection in mines were studied, and the research progress of deep learning based-target detection in underground personnel safety monitoring, intelligent detection of mining equipment, and perception of working environment was elaborated in detail around the application requirements of “human machine environment” in coal mines. Finally, it was pointed out that there are still challenges in the construction of datasets, model optimization, and multi-source heterogeneous data fusion of intelligent target detection technology in coal mine application scenarios. …”
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Improvement of English-Chinese bilingual learning by integrating semantic analysis and neural machine translation by Yue Zhao, Qilin Wang

“…Learner satisfaction also improved, with an interest level score of 4.3, a teaching method satisfaction score of 4.0, and an overall satisfaction score of 4.2 (on a 5-point scale). Compared with rule-based translation systems and models using word embeddings or basic neural networks, the proposed model demonstrated clear advantages in all areas of evaluation. …”
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Сontrol of Intelligent Transport System in Minsk by D. V. Kapskiy, D. V. Navoy, P. A. Pegin

“…As a result of the simulation it has been revealed that the most effective parameter is an indicator of vehicle delays which does not always satisfy drivers trying to choose routes of their traffic which are based on a minimum transportation speed. However, from the point of view of managing an intelligent transportation system, it is necessary to choose parameters based on the requirements for minimizing delays on the road traffic network of the largest city in our country. …”
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Energy-Efficient Secure Cell-Free Massive MIMO for Internet of Things: A Hybrid CNN–LSTM-Based Deep-Learning Approach by Ali Vaziri, Pardis Sadatian Moghaddam, Mehrdad Shoeibi, Masoud Kaveh

“…However, the increasing demand for high-performance wireless networks necessitates advanced frameworks that optimize both energy efficiency (EE) and security. …”
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Modeling of Transport and Logistics Systems and the Study of the Structural Stability by D. V. Yatskin, A. A. Kochkarov, R. A. Kochkarov

“…The theoretical significance of the study lies in the possibility of using the results obtained at the stage of designing transport and logistics networks. From a practical point of view, the proposed tools can be used to assess the stability of the functioning of existing transport and logistics systems.…”
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