SORA: Energy-Efficient Resource Allocation in Open Radio Access Network With Online Learning by Aerman Tuerxun, Akihiro Nakao

“…However, its widespread adoption faces challenges due to the complexity of configuration choices, which can significantly affect both network performance and energy efficiency. …”
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An efficient second‐order neural network model for computing the Moore–Penrose inverse of matrices by Lin Li, Jianhao Hu

“…Numerical studies and application to the random matrix inversion in multiple‐input multiple‐output detection are provided to validate the efficiency of the proposed model for solving the Moore–Penrose inverse.…”
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An Efficient Topology Construction Scheme Designed for Graph Neural Networks in Hyperspectral Image Classification by Yu Zhang, Xin Li, Yaoqun Xu

“…Superpixel-based Graph Neural Networks (GNNs) have achieved remarkable success in hyperspectral image (HSI) classification tasks, primarily due to their ability to capture the implicit topological structure in the data while maintaining low computational complexity by propagating information between spatially adjacent superpixels. …”
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Spectral-Efficient Reconstructed LACO-OFDM Transmission for Dimming Compatible Visible Light Communications by Baolong Li, Wei Xu, Simeng Feng, Zhengquan Li

“…In this paper, we conceive a reconstructed LACO-OFDM (RLACO-OFDM) scheme incorporating the PWM technique for VLC to accommodate the dimming demands for indoor illumination, while maintaining a spectral-efficient communication link. Moreover, superior to its counterparts, the transmitted symbols in the RLACO-OFDM based VLC system can be readily recovered by a standard LACO-OFDM receiver while no additional detection of the PWM signal is required, which reduces the receiver complexity. …”
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A scoping review of export supply chain efficiency frameworks for perishable horticultural products by Sabrina Haque, Delwar Akbar, Susan Kinnear, Azad Rahman

“…Whilst prior research has focussed on selected efficiency indicators such as logistics or consumer perceptions, a holistic framework specific to horticultural produce is yet to be developed. …”
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Comparing the Pattern of Lower Limb Joints Coordination in an Optional and Selective Sprint Start of Elite Women Runners by Zahra Bahadori, Moein Koohestani, Heydar Sadeghi

“…Objective: The sprint start is a complex skill characterized by a multi-joint and multi-plane task requiring complex muscle coordination to reach a large force exerted in the horizontal direction in a short time. …”
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CORRECTION OF HYPODINAMY AS A FACTOR OF THE RISK OF OBESITY DEVELOPMENT IN FIRE-RESCUERS by E. V. BURDYUKOVA, A. N. ARKHANGELSKAYA, S. N. ALEKSEENKO, I. A. YAKIREVICH, E. A. DMITRIEVA, O. P. KARAZHELYASKOV, M. V. IVKINA, K. G. GUREVICH

“…The first complex was selected by 52 people. Based on the results of the study, against the background of the use of sports complexes, there was a 2-fold decrease in the incidence of obesity. …”
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Berth Efficiency Under Risk Conditions in Seaports Through Integrated DEA and AHP Analysis by Deda Đelović, Marinko Aleksić, Oto Iker, Michail Chalaris

“…In the first phase, the DEA CCR input-oriented model is employed to assess the efficiency of selected berths considered as Decision Making Units (DMUs). …”
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How can selection of biologically inspired features improve the performance of a robust object recognition model? by Masoud Ghodrati, Seyed-Mahdi Khaligh-Razavi, Reza Ebrahimpour, Karim Rajaei, Mohammad Pooyan

“…Our results suggest that selected features which are parts of target objects provide an efficient set for robust object recognition.…”
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Efficient, Robust, and Accurate CNN Predictor for Neuronal Activation in Directional Deep Brain Stimulation by Shunjing Wang, Ru Ma, Qunran Yuan, Hongda Li, Changqing Jiang

“…Visualization of the volume of tissue activated (VTA) can assist in selecting stimulation parameters by showing the direct effects of DBS on neural tissue. …”
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TDNN achitecture with efficient channel attention and improved residual blocks for accurate speaker recognition by Wenzao Li, Sai Yao, Bing Wan, Linsong Xiao, Chengyu Hou, Yanchuan Zhong, Wengang Zhou

“…However, TDNN often struggles with accurately modeling multi-scale features when processing complex audio data, which can result in reduced speaker recognition accuracy. …”
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Impact of Mobile Phase Composition on Separation Selectivity of Labeled Dextran Ladder in Hydrophilic Interaction Liquid Chromatography by Matjaž Grčman, Niko R. Pompe, Drago Kočar, Matevž Pompe

“…There are many kinds of glycans, the most common being N-glycans, which can be arranged into three classes, that is, complex, hybrid, and high mannoses, forming a structurally very diverse set of polar compounds that are difficult to detect and separate. …”
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Detection of false position attacks in VANETs through bagging ensemble learning. by Bekan Kitaw Mekonen, Lemi Bane, Negasa Berhanu Fite

“…MLP with bagging shows strong results for simpler attacks but underperforms in complex scenarios. The proposed framework highlights the effectiveness of ensemble techniques, particularly KNN with bagging, in safeguarding VANET communication systems, offering a scalable, efficient, and robust solution for VANET security.…”
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A lightweight MHDI-DETR model for detecting grape leaf diseases by Zilong Fu, Lifeng Yin, Can Cui, Yi Wang

“…This structure is designed to overcome the challenges of capturing complex high-level and subtle low-level features, and it uses Efficient Local Attention to focus more efficiently on regions of interest, thereby enhancing the model’s ability to detect complex targets while improving accuracy and inference speed. …”
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SPPMFN: Efficient Multimodal Financial Time-Series Prediction Network With Self-Supervised Learning by Ningxin Li, Gang Chao, Jianke Zou, Gaozhe Jiang

“…At the same time, despite capturing complex price dynamics, machine learning and deep learning approaches often face the risk of overfitting. …”
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Latency and energy-efficient multi-hop routing protocol for unmanned aerial vehicle networks by Abdelhamied A Ateya, Ammar Muthanna, Irina Gudkova, Yuliya Gaidamaka, Abeer D Algarni

“…These devices have limited capabilities in terms of energy and processing. Due to the complex structure of unmanned aerial vehicle networks and the high mobility constraints, design of efficient routing protocol, for supporting such network, is a challenge. …”
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The assessment of magnesium-contained feed additive efficiency on nutrient digestibility and productivity in laying hens by O. S. Orishchuk, S. V. Tsap, R. V. Mylostyvyi, O. I. Chernenko, O. M. Chernenko

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Evaluation of Environmental Factors Influencing Photovoltaic System Efficiency Under Real-World Conditions by Krzysztof Pytel, Wiktor Hudy, Roman Filipek, Malgorzata Piaskowska-Silarska, Jana Depešová, Robert Sito, Ewa Janiszewska, Izabela Sieradzka, Krzysztof Sulkowski

“…The implementation of evolutionary algorithms represents a novel approach in this context and has proven to be effective in quantifying environmental influence under complex real-world conditions. Furthermore, the findings highlight the indirect role of air pollution in attenuating irradiance and reducing system efficiency. …”
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Efficient Robot Localization Through Deep Learning-Based Natural Fiduciary Pattern Recognition by Ramón Alberto Mena-Almonte, Ekaitz Zulueta, Ismael Etxeberria-Agiriano, Unai Fernandez-Gamiz

“…The proposal of an algorithm that enables the application of the proposed method for natural fiduciary patterns based on neural networks to more complex scenarios is highlighted, along with the efficiency of the method for robot localization compared to others.…”
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Advancing construction safety: YOLOv8-CGS helmet detection model. by Zhihui Wu, Xiaojia Lei, Munish Kumar

“…The goal is to enhance the model's detection accuracy and robustness in complex scenarios. …”
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