Multi-Objective Path Optimization Method for Maritime UAVs Equipped with Inertial Navigation Systems by Zhao Li, Weihao Ma, Haixiang Pang

“…The comparative results demonstrate that, while satisfying the positioning error requirements, our proposed method achieves a reduction of over 1.5% in total flight distance for maritime UAVs compared to the NSGA-II algorithm.…”
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Sensorless Compensation of DC-Link Current Pulsations in Energy Storage Systems by Dariusz Zieliński, Maciej Rudawski, K. Gopakumar

“…A sensorless compensation algorithm based on AC-side voltage and current measurements is proposed, eliminating the need for additional sensors. …”
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Network Optimization of Fresh Products Cold Chain Considering Supply Disruption and Demand Fluctuation Under the Dual-Carbon Policy by Haojie Ran, Dichen He, Huajun Tang

“…The research results provide valuable decision-making support for fresh cold chain enterprises to develop resilient and low-carbon network optimization strategies for cost reduction, efficiency improvement, and sustainable development.…”
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Fuzzy Control Strategy for Wind Turbine Vibration Suppression under Complicated Operating Conditions by JIANG Tao, LIU Hongwen, LU Shixin, ZHOU Jian, CHANG Sheng

“…This strategy incorporates a vibration recognition algorithm to classify vibration conditions and a fuzzy control algorithm for vibration suppression based on the categorized conditions. …”
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Recurrent Neural Network-Based Autoencoder for Problems of Automat-ic Time Series Analysis at Power Facilities by Matrenin P.V., Khalyasmaa A.I., Potachits Y.V.

“…The most significant achieve-ments of the study are both the autocoding neural network model, which does not require initial assumption about the type of deviations, and the proposed algorithm for prioritizing the data fragments. The significance of the results is prooved by the reduction of the time for analyzing and labeling large data arrays with technological parameters of the electrical networks, which allows using these data for training, validating and testing.…”
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The value of multi-phase CT based intratumor and peritumoral radiomics models for evaluating capsular characteristics of parotid pleomorphic adenoma by Qian Shen, Cong Xiang, Yongliang Han, Yongmei Li, Kui Huang

“…Quantitative radiomics features of the intratumoral and peritumoral regions of 2 mm and 5 mm on CT images were extracted, and radiomics models of Tumor, External2, External5, Tumor+ External2, and Tumor+External5 were constructed and used to train six different machine learning algorithms. Meanwhile, the prediction performances of different radiomics models (Tumor, External2, External5, Tumor+External2, Tumor+External5) based on single phase (plain, arterial, and venous phase) and multiphase (three-phase combination) were compared. …”
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Mapping 1-km soybean yield across China from 2001 to 2020 based on ensemble learning by Min Zhang, Xinlei Xu, Junji Ou, Zengguang Zhang, Fangzheng Chen, Lijie Shi, Bin Wang, Meiqin Zhang, Liang He, Xueliang Zhang, Yong Chen, Kelin Hu, Puyu Feng

“…The resulting dataset captures over 50% of the yield variability at the county scale, demonstrating superior accuracy compared to publicly available datasets with reductions in Root Mean Square Error (RMSE) ranging from 0.18 to 0.60 t/ha. …”
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A framework to organize public transport-based crowdshipping by Meijing Zhang, Lynette Cheah

“…With crowdshipping, a carrier can reduce delivery vehicle kilometers traveled (VKT) and associated air emissions by up to 30%. This reduction only requires redirecting less than 9% of parcels to crowdshippers. …”
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Self-Sensing Approach for Semi-Active Control of Variable Damping Electromagnetic Suspension System by Chao Fu, Pengfei Liu, Jianqiang Yu, An Qin, Donghong Ning

“…Incorporating self-sensing technology into the EMS system improves the vibration reduction performance of the suspension.…”
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Optimization Design of Dynamic Cable Configuration Considering Thermo-Mechanical Coupling Effects by Ying Li, Guanggen Zou, Suchun Yang, Dongsheng Qiao, Bin Wang

“…The framework employs a Radial Basis Function (RBF) surrogate model coupled with NSGA-II algorithm, yielding validated Pareto solutions (≤6.15% max error vs. simulations). …”
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MORIX: Machine learning-aided framework for lethality detection and MORtality inference with eXplainable artificial intelligence in MAFLD subjects by Domenico Lofù, Paolo Sorino, Tommaso Colafiglio, Caterina Bonfiglio, Rossella Donghia, Gianluigi Giannelli, Angela Lombardi, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci

“…Moreover, a web application was developed to predict mortality risk and provide explanations of how the input features influenced the final prediction. …”
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Resonant solitary states in complex networks by Jakob Niehues, Serhiy Yanchuk, Rico Berner, Jürgen Kurths, Frank Hellmann, Mehrnaz Anvari

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CRITICAL CONTROL POINT IDENTIFICATION THROUGH TROPHOLOGICAL MEAT PRODUCTION CHAINFROM FIELD TO FORK by A. V. Borodin, I. M. Chernukha, M. A. Nikitina

“…The article describes methodological bases for IT-approach to the CCP identification in the trophological meat production chain from field to fork. The algorithmic support and soſtware for the «Decision tree», which allows detecting existing hazards, identifying risks, determining CCPs and describing them, has been developed.…”
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Worst-case energy consumption minimization based on interference analysis and bank mapping in multicore systems by Zhihua Gan, Zhimin Gu, Hai Tan, Mingquan Zhang, Jizan Zhang

“…The bank-to-core mapping provides significant benefits in worst-case energy consumption reduction with 7.23%.…”
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Optimization of connection patterns between mobile phones and base stations using quantum annealing by Taisei Takabayashi, Shoichi Sudo, Toshihiro Aoki, Shun Seo, Masayuki Ohzeki

“…By adopting a variable reduction formulation, we significantly reduce the qubit requirements compared to the naive formulation that is typically used when considering pattern-matching problems. …”
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Perspectives on land use and plant cover in Pucallpa (Perú) between 2000 and 2023 by Indara Venecia Dávila del Valle, Renato Edu Barzola Gomez, Ciza Zarvia Rosario Ramon

“…Finally, a significant land-use transformation was evident, marked by a reduction in vegetation cover and an increase in areas dedicated to crops and pastures. …”
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Dealing with Energy-QoE Trade-Offs in Mobile Video by Fidel Liberal, Ianire Taboada, Jose-Oscar Fajardo

“…Finally, since the optimization solving mechanism is computationally expensive to be implemented in mobile devices, a heuristic algorithm is proposed. This way, significant energy consumption reduction will be achieved while keeping reasonable quality levels.…”
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Noise Processing Method of MEMS Tilt Sensor Using Improved Kalman Filter Based on Quantum Particle Swarm Optimization by Yutong Ge, Weizheng Ren, Kaile Yu, Yiran Zhang, Yuxiao Li

“…To validate the denoising performance of proposed algorithm, an experimental scene was set up with a six-dimensional space vibration test bench. …”
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Pathogen-specific epitopes as epidemiological tools for defining the magnitude of Mycobacterium leprae transmission in areas endemic for leprosy. by Marcia V S B Martins, Marjorie M da S Guimarães, John S Spencer, Mariana A V B Hacker, Luciana S Costa, Fernanda M Carvalho, Annemieke Geluk, Jolien J van der Ploeg-van Schip, Maria A A Pontes, Heitor S Gonçalves, Janvier P de Morais, Tereza J P G Bandeira, Maria C V Pessolani, Patrick J Brennan, Geraldo M B Pereira

“…The data generated indicate that an IFN-γ assay based on these peptides applied individually or as a pool can be used as a new tool for predicting the magnitude of M. leprae transmission in a given population.…”
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Real-Time Caterpillar Detection and Tracking in Orchard Using YOLO-NAS Plus SORT by Sumesh Nair, Guo-Fong Hong, Chia-Wei Hsu, Chun-Yu Lin, Shean-Jen Chen

“…The integration of YOLO-NAS with SORT enhanced detection performance, achieving a ~9% increase in true positive detections and an ~8% reduction in false positives compared to YOLO-NAS alone. …”
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