Dynamic energy consumption monitoring and scheduling for green buildings: A comprehensive approach by Hua Zheng, Pengming Wang

“…Long short-term memory (LSTM) neural networks are used to predict future energy consumption demand and provide data support for real-time scheduling. …”
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Station Maintenance for Low-Orbit Large-Scale Constellations Based on Absolute and Relative Control Strategies by Min Hu, Feifei Li, Wen Xue, Chenhu Liu, Wen Guo, Yongjing Ruan

“…It also increases the difficulty of achieving the economical and efficient networking of the constellations as well as ensuring their safe and stable operation. …”
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Isotope composition of winter precipitation and snow cover in the foothills of the Altai by N. S. Malygina, A. N. Eirikh, N. Yu. Kurepina, T. S. Papina

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Self-Adaptive Trust Based ABR Protocol for MANETs Using Q-Learning by Anitha Vijaya Kumar, Akilandeswari Jeyapal

“…Mobile ad hoc networks (MANETs) are a collection of mobile nodes with a dynamic topology. …”
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CMACGSA: Improved Gravitational Search Algorithm Based on Cerebellar Model Articulation Controller for Optimization by Nazmiye Ebru Bulut, Emre Dandil, Ugur Yuzgec, Alpaslan Duysak

“…Metaheuristic algorithms have gained significant attention in recent years for addressing complex and challenging optimization problems, especially in engineering. These algorithms often take inspiration from natural phenomena, systems or biological behaviour to find optimal solutions. …”
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Integrated transmission expansion planning incorporating fault current limiting devices and thyristor-controlled series compensation using meta-heuristic optimization techniques by Abdulaziz Almalaq, Khalid Alqunun, Rabeh Abbassi, Ziad M. Ali, Mohamed M. Refaat, Shady H. E. Abdel Aleem

“…This paper presents a comprehensive study on the application of ten recent meta-heuristic algorithms for solving the TEP problem across three distinct power networks varying in scale. …”
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Ensemble-Based Correction for Anomalous Diffusion Exponent Estimation in Single-Particle Tracking by Roman Lavrynenko, Lyudmyla Kirichenko, Sergiy Yakovlev, Sophia Lavrynenko, Nataliya Ryabova

“…The analysis of anomalous diffusion characteristics within single-particle tracking data is a key problem in several applied-science domains, including biosignal processing, bioinformatics, and biotechnology. …”
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The Role of Information and Communication Technologies in Africa’s Digital Transformation by Khanova Olena V., Shynkarenko Oleksii S.

“…A forecasting of the prospects for 3G and 4G network coverage, which are key elements of digital infrastructure, is carried out. …”
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Measurement-Induced Entanglement and Complexity in Random Constant-Depth 2D Quantum Circuits by Max McGinley, Wen Wei Ho, Daniel Malz

“…By deriving a rigorous lower bound on the average entanglement entropy of such postmeasurement states, we prove that macroscopic long-ranged entanglement is generated above some constant critical depth in several natural classes of circuit architectures, which include brickwork circuits and random holographic tensor networks. …”
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Improved Artificial Bee Colony Optimization Underwater Localization Algorithm by Logistic Chaos Mapping and Differential Evolution by Jiaxing CHEN, Yang LIU, Xiaoqian LIU, Zhihua LIU

“…This is achieved by transforming the optimization problem of node localization results into an optimization problem for the node objective function. …”
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Soybean Weed Detection Based on RT-DETR with Enhanced Multiscale Channel Features by Hua Yang, Yanjie Lyu, Yunpeng Jiang, Feng Jiang, Taiyong Deng, Lihao Yu, Yuanhao Qiu, Hao Xue, Junying Guo, Zhaoqi Meng

“…To solve the missed and wrong detection problems of the object detection model in identifying soybean companion weeds, this paper proposes an enhanced multi-scale channel feature model based on RT-DETR (EMCF-RTDETR). …”
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Yo3RL-Net:A fusion of two-phase end-to-end deep net framework for hand detection and gesture recognition by Xiang Wu, Yuanhao Ma, Shijie Zhang, Tianfei Chen, He Jiang

“…For the gesture recognition phase, we suggest utilizing a method that combines a three-dimensional residual network with a long short-term memory (LSTM) network. …”
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Crop-Free-Ridge Navigation Line Recognition Based on the Lightweight Structure Improvement of YOLOv8 by Runyi Lv, Jianping Hu, Tengfei Zhang, Xinxin Chen, Wei Liu

“…The results showed that the average precision of the improved neural network model using this method was 90.4%, with a Params of 1.8 M, a FLOPs of 8.8 G, and an FPS of 49.5. …”
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Colored linear inverse model: A data-driven method for studying dynamical systems with temporally correlated stochasticity by Justin Lien, Yan-Ning Kuo, Hiroyasu Ando, Shoichiro Kido

“…In addition, we illustrate the potential applications and implications of colored LIM for real-world problems, including the El Niño–southern oscillation and the electricity network of Tohoku University.…”
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Pattern Matching-Based Denoising for Images with Repeated Sub-Structures by Anil Kumar Mysore Badarinarayana, Christoph Pratsch, Thomas Lunkenbein, Florian Jug

“…To address this problem, we propose a method that uses re-occurring patterns in images. …”
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Filter for Traffic Congestion Prediction: Leveraging Traffic Control Signal Actions for Dynamic State Estimation by Younus Hasan Taher, Jit Singh Mandeep, Mohammad Tariqul Islam, Omer Tareq Abdulhae, Ahmed Thair Shakir, Md. Shabiul Islam, Mohamed S. Soliman

“…The field of intelligent transportation systems is rapidly evolving, with increasing focus on addressing traffic congestion, a pervasive problem in urban environments. This study contributes to this domain by enhancing traffic prediction models. …”
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Analysis of young students' perception of loneliness: a cross-sectional study by Rogelio Hernández-Díaz, Rogelio Hernández-Díaz, Lucas Navarro-Vásquez, Alejandra Aguilar-Latorre, Alejandra Aguilar-Latorre, Alejandra Aguilar-Latorre, Fátima Méndez-López, Fátima Méndez-López, Fátima Méndez-López, Santiago Gascón-Santos, Santiago Gascón-Santos, Santiago Gascón-Santos, Rosa Magallón-Botaya, Rosa Magallón-Botaya, Rosa Magallón-Botaya

“…It can be social or emotional and is linked to developmental transitions, reduced social networks, mental health conditions, and excessive social media use. …”
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Volume fracturing technology with high-energy electric detonation and engineering test of ground coalbed methane by Baisheng NIE, Song BAO, Xianfeng LIU, Peng LIU, Hao ZHANG, Hengyi HE, Zijian LI, Haowen ZHOU, Xueqi JIA, Xueqiu HE

“…The increase of HEED energy and induction times leads to the increase and then decrease of the influence radius of the coal reservoir fracture network. The influence radius of the fracture network induced was as high as 200 m by HEED underwater excitation energy of 361.97 kJ. …”
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Small target detection of bearing surface defects based on improved YOLOv5s. by Haisong Xu, Xiaolin Shi, Han Zhang, Fan Yang, Yun Chen

“…However, traditional detection methods have problems such as insufficient feature extraction for small targets and sensitivity to background interference. …”
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Text Detection Method With Emphasis on Text Component Importance and Lightweight Design by Lanlan Yin, Qiming Wu

“…This algorithm simplifies the network of detection algorithms that consider the importance of text components, aiming to reduce computational complexity while addressing issues such as excessive smoothing. …”
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