Research on Energy Efficiency and Resource Optimized Hyper-Cellular Mobile Communication System by Zhisheng Niu, Jie Gong, Sheng Zhou

“…The development of wireless communication networks is now facing severe challenges from limited spectrum resources and stringent energy consumption constraints, which calls for system level theories and methods to efficiently utilizethe spectrum and energy. …”
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A Fast Prediction Model of Supercritical Airfoils Based on Deep Operator Network and Variational Autoencoder Considering Physical Constraints by Mengxin Liu, Yunjia Yang, Chenyu Wu, Yufei Zhang

“…Computational fluid dynamics (CFD) methods usually require a considerable amount of computational resources and time. …”
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Corrosion Rate of ASTM A53 Steel in Seawater Influenced by Variation in Concentration of Mangifera Indica L. Peel Extract by Selly Septianissa, Ayu Zahra Chandrasari

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Genome-wide selection signal analysis reveals copy number variation associated with litter size in Guizhou Black goat by Yanpin Zhao, Yong Han, Yong Han, Chao Yuan, Yang Yang, Yong Long, Wen Xiao

“…IntroductionCopy number variation (CNV) is a common form of genomic structural variation arising from genome sequence rearrangements, which primarily involves variations in the copy number of large genomic segments. …”
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The effect of intelligent reflecting surfaces on spectral efficiency in 6G wireless systems by Hanaa H. Qamar, Hesham M. Elbadawy, Abdelhady A. Ammar

“…The data rate, spectral and energy efficiency were evaluated by using four different methods (power method, uniform metal surface method, IRS with best pilot method and with the case of no IRS). …”
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Extraction, Dynamics, and Driving Factors of Shallow Water Area in Hongze Lake Based on Landsat Imagery by Nianao Liu, Jinhui Huang, Dandan Xu, Ni Na, Zhaoqing Luan

“…The results show that (1) the method of this study is efficient in extracting the natural shallow water area with limited effects from aquatic vegetation; (2) water inflow (upstream water supply and precipitation) and the area of aquatic farms, the two dominant factors for the temporal changes in natural shallow water area, contributed 38.3% (positively) and 42.2% (negatively) to the decrease in the natural shallow water area during 2013–2022 in Hongze Lake; (3) the natural shallow water area of Hongze Lake decreased significantly every April as paddy rice farms withdrew a large amount of irrigation water from Hongze Lake. …”
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Efficient feature selection for histopathological image classification with improved multi-objective WOA by Ravi Sharma, Kapil Sharma, Manju Bala

“…Abstract The difficulty of selecting features efficiently in histopathology image analysis remains unresolved. …”
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China’s energy economic efficiency evaluation based on novel dynamic network DEA by Wenchao Pan, Tsung-Xian Lin, Huiqian Long, Renwen Zhang, Hui Li, Huizhen Jin

“…However, there is significant variation in the efficiency of this stage across different provinces and cities.…”
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Automated Dead Chicken Detection in Poultry Farms Using Knowledge Distillation and Vision Transformers by Ridip Khanal, Wenqin Wu, Joonwhoan Lee

“…A dynamic frame selection strategy optimizes resource usage by adjusting monitoring intervals based on the chickens’ age, ensuring real-time performance in resource-constrained environments. This method addresses key challenges such as the lack of explicit annotations for dead chickens, along with common farm issues like lighting variations, occlusions, cluttered backgrounds, chicken growth, and camera distortions. …”
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Spatial attention-guided pre-trained networks for accurate identification of crop diseases by Satrughan Kumar, S. S. Aravinth, Sreedhar Kollem, Munish Kumar, Quadri Noorulhasan Naveed, Azath Mubarakali, Abhishek Bhattacherjee, Addisu Frinjo Emma

“…Additionally, the integration of ancillary convolutional layer to this architecture enhances the ability of the model to detect subtle disease variations. To further improve the adaptability, the proposed method incorporates a preprocessing and data augmentation techniques. …”
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EFFICIENCY OF MEDICAL REHABILITATION IN ARTERIAL HYPERTENSION AS A PART OF THE SPA RESORT TREATMENT by A. S. Ivashchenko, V. I. Mizin, N. A. Severin, N. A. Prokopenko

“…The analysis of the results was carried out by methods of variation statistics.Results and its discussion. …”
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Efficient autoencoder pipeline for discovering high entropy alloys with molecular dynamics data by Amirhossein D Naghdi, Grzegorz Kaszuba, Stefanos Papanikolaou, Andrzej Jaszkiewicz, Piotr Sankowski

“…In this work, we utilize computationally efficient molecular dynamics simulations to create a machine learning pipeline for discovery of crystalline multi-component alloys. …”
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Water Use Efficiency Spatiotemporal Change and Its Driving Analysis on the Mongolian Plateau by Gesi Tang, Yulong Bao, Changqing Sun, Mei Yong, Byambakhuu Gantumur, Rentsenduger Boldbayar, Yuhai Bao

“…In this study, we used remote sensing data and various statistical methods to evaluate the spatiotemporal patterns of water use efficiency and their potential influencing factors on the Mongolian Plateau from 1982 to 2018. …”
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Efficient system design of capacitive coupling wireless charging for low-power applications by Yasir M. Y. Ameen, Marwan H. Mohammed, Basil Mohammed Said

“…The results show that the M2-four-sheet parallel formation achieved significantly higher self-capacitance compared to the traditional layout, with little variation in the coupling capacitance. The M2-four-sheet stacked formation provides even higher self-capacitance than the parallel one and enhances the overall system efficiency without increasing the pad size. …”
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A Detailed Analytical Modeling of Eddy Current Losses in an Underwater Medium for Wireless Power Transfer by Sadjad Shafiei, Seyed Saeid Heidari Yazdi, Nurtas Adaikhan, Mehdi Bagheri

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Energy-Efficient on-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing by Flor Ortiz, Nicolas Skatchkovsky, Eva Lagunas, Wallace A. Martins, Geoffrey Eappen, Saed Daoud, Osvaldo Simeone, Bipin Rajendran, Symeon Chatzinotas

“…The latest Satellite Communication (SatCom) missions are characterized by a fully reconfigurable on-board software-defined payload, capable of adapting radio resources to the temporal and spatial variations of the system traffic. As pure optimization-based solutions have shown to be computationally tedious and to lack flexibility, Machine Learning (ML)-based methods have emerged as promising alternatives. …”
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Wind speed prediction for trains on bridges using enhanced variational mode decomposition assisted feature extraction and physical auxiliary mechanism by Zhilan Zhu, Yuan Jiang, Haicui Wang, Shuoyu Liu

“…Hence, the proposed method stands as a viable and efficient alternative for forecasting the short-term wind speed.…”
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Optimization of Mangiferin extraction from Mangifera Indica leaves Peruvian Criollo variation using ultrasound assisted surface response methodology by Elena Sofia Espinoza Rodríguez, Stephanie Elena Sosa Pulcha, Naysha Y. M․ Elguera, Abdel Alejandro Portocarrero Banda, Hugo Guillermo Jiménez Pacheco

“…Despite its potential, conventional extraction methods such as maceration and Soxhlet extraction are time-intensive and require large solvent volumes. …”
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Noninvasive imaging biomarker reveals invisible microscopic variation in acute ischaemic stroke (≤ 24 h): a multicentre retrospective study by Kui Sun, Rongchao Shi, Xinxin Yu, Ying Wang, Wei Zhang, Xiaoxia Yang, Mei Zhang, Jian Wang, Shu Jiang, Haiou Li, Bing Kang, Tong Li, Shuying Zhao, Yu Ai, Jianfeng Qiu, Haiyan Wang, Ximing Wang

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Robust Synthetic Data Generation for Sequential Financial Models Using Hybrid Variational Autoencoder–Markov Chain Monte Carlo Architectures by Francesco Bruni Prenestino, Enrico Barbierato, Alice Gatti

“…These findings position the proposed framework as a computationally efficient and structurally simple alternative to Generative Adversarial Network (GAN)-based methods, suitable for real-world applications in data-driven financial modelling.…”
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