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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Multi-objective: hybrid particle swarm optimization with firefly algorithm for feature selection with Leaky ReLU by Ashish Kumar Singh, Anoj Kumar

“…This study proposes a novel optimization algorithm, LR-GPSOFA, designed to improve feature selection by enhancing computational efficiency and classification 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

“…It was assumed that the addition of methanol influences the folding pattern of dextrans around the permanent positive charge on the added tag, which influences the changes of separation selectivity. This work presents a systematic approach to altering mobile phase composition (buffer concentration, organic modifier type) to control retention and selectivity in complex glycan analysis. …”
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BESW-YOLO: A Lightweight SAR Image Detection Model Based on YOLOv8n for Complex Scenarios by Xiao Tang, Kun Cao, Yunzhi Xia, Enkun Cui, Weining Zhao, Qiong Chen

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Model Input-Output Configuration Search With Embedded Feature Selection for Sensor Time-Series and Image Classification by Anh Tuan Hoang, Zsolt Janos Viharos

“…Moreover, the algorithm reduced feature dimensionality to just 2–5% of the original data, significantly enhancing computational efficiency. These results highlight the potential of MICS-EFS to improve model accuracy and efficiency in various machine learning tasks. …”
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Comparative Ranking Preferences Decision Analysis through a Novel Fuzzy TOPSIS Technique for Vehicle Selection by Marimuthu Dharmalingam, G. S. Mahapatra, Fasika Bete Georgise, Mahuya Deb

“…The decision-making process is complex and entails selecting the most appropriate alternatives. …”
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Germ and seed morphometric parameters of seeds of vegetable plants of the Umbelliferae family as a breeding subject by A. F. Bukharov

“…A comparison of wild-growing and varietal samples of carrots indicates that in the process of cultivation, the size of the embryo underwent significant upward changes, even in the absence of targeted selection. Therefore, when applying artificial selection in this direction, one can expect more significant results.…”
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Effect of Oxidative Roasting on Selective Leaching of Lithium from Industrially Shredded Lithium Iron Phosphate Blackmass by Ayesha Tasawar, Daniel Dotto Munchen, Alexander Birich, Rungsima Yeetsorn, Bernd Friedrich

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Topology Optimization Study of a Refrigeration Block Manufactured with Powder Bed Fusion Selective Laser Melting by Guido Servetti, Federico Valente, Jérôme Laurent, Jitendra Singh Rathore

“…Powder bed fusion with a selective laser melting (SLM) process is a versatile technology that allows for the manufacturing of complex geometries and lightweight structures. …”
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Decision-making using quasirung orthopair fuzzy exponential aggregation operators for carbon capture technology selection by Faiz Muhammad Khan, Muhammad Rahim, Noor Alam, Mohammad Rais Ahmad

“…Abstract The selection of optimal carbon capture technologies is paramount in enhancing the efficiency of carbon emission mitigation efforts. …”
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SRFNet: Multimodal Based Selective Receptive Field Neural Network for Time Series Forecast of Flood Range by Zhiqing Li, Zeqiang Chen, Lai Chen, Xu Tang, Nengcheng Chen

“…Furthermore, many methods are too complex to poor computational efficiency and interpretability. …”
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Fostering regional intelligence from the ground up: a selection of case studies from EU projects by Anastasia Panori

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A Spectral Editing Technique Based on Optimized Control of Nuclear Spin to Realize Lactate Signal Selection by SHAO Zhengze, WANG Xingle, YANG Xue, XIN Jiaxiang, WEI Daxiu, YAO Yefeng

“…This study provides new ideas and methods for efficiently selecting the signals of lactate in complex systems.…”
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AUTOMATION OF OPTIMAL IDENTIFICATION OF DYNAMIC ELEMENT TRANSFER FUNCTIONS IN COMPLEX TECHNICAL OBJECTS BASED ON ACCELERATION CURVES by A. Yu. Alikov, M. A. Kovaleva, A. L. Rutkovskiy, N. V. Tedeeva

“…The problem of optimal control over a complex technical facility was solved. On the basis of the modified Simoyu method, an algorithm for the automated selection of the optimal shape and calculation of transfer function parameters of dynamic elements of complex technical objects according to the acceleration curves in the impact channels was developed. …”
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Genotype-Driven Phenotype Prediction in Onion Breeding: Machine Learning Models for Enhanced Bulb Weight Selection by Junhwa Choi, Sunghyun Cho, Subin Choi, Myunghee Jung, Yu-jin Lim, Eunchae Lee, Jaewon Lim, Han Yong Park, Younhee Shin

“…However, due to the crop’s complex genome structure, lengthy growth cycle, self-incompatibility, and susceptibility to disease, onion breeding is challenging. …”
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Improved cancer detection through feature selection using the binary Al Biruni Earth radius algorithm by El-Sayed M. El-Kenawy, Nima Khodadadi, Marwa M. Eid, Ehsaneh Khodadadi, Ehsan Khodadadi, Doaa Sami Khafaga, Amel Ali Alhussan, Abdelhameed Ibrahim, Mohamed Saber

“…Metaheuristic algorithms have been employed to select features to address this issue. Although the efficacy of these algorithms has been demonstrated, challenges related to scalability and efficiency persist when handling large medical datasets. …”
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Towards an Efficient Remote Sensing Image Compression Network with Visual State Space Model by Yongqiang Wang, Feng Liang, Shang Wang, Hang Chen, Qi Cao, Haisheng Fu, Zhenjiao Chen

“…To alleviate this issue, we propose a learned remote sensing image compression network with visual state space model named VMIC to achieve a better trade-off between computational complexity and performance. Specifically, instead of stacking small convolution kernels or heavy self-attention mechanisms, we employ a 2D-bidirectional selective scan mechanism. …”
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Efficient Multiuser Computation for Mobile-Edge Computing in IoT Application Using Optimization Algorithm by Tawfiq Hasanin, Aisha Alsobhi, Adil Khadidos, Ayman Qahmash, Alaa Khadidos, Gabriel Ayodeji Ogunmola

“…Then, the simulation is done to show the efficiency and stability by reducing the offloading latency.…”
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Design Technique and Efficient Polyphase Implementation for 2D Elliptically Shaped FIR Filters by Doru Florin Chiper, Radu Matei

“…Then, the original image was accurately reconstructed from its sub-band images. Very selective directional elliptical filters can be used in efficiently extracting straight lines with specified orientations from images, as shown in simulation examples. …”
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PixelCraftSR: Efficient Super-Resolution with Multi-Agent Reinforcement for Edge Devices by M. J. Aashik Rasool, Shabir Ahmed, S. M. A. Sharif, Mardieva Sevara, Taeg Keun Whangbo

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