Assessment of performance metrics for fusion network by Rohan Gupta, Gurpreet Singh, Amanpreet Kaur

“…From the outcome it has been verified that the designed technique is finest in contrast to other alternatives of particle swarm optimization and ant colony optimization Routing overheads of the designed algorithm are reduced in contrast to other methods.…”
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Enhancing Air Conditioning System Efficiency Through Load Prediction and Deep Reinforcement Learning: A Case Study of Ground Source Heat Pumps by Zhitao Wang, Yubin Qiu, Shiyu Zhou, Yanfa Tian, Xiangyuan Zhu, Jiying Liu, Shengze Lu

“…This study proposes a control method that integrates deep reinforcement learning with load forecasting, to enhance the energy efficiency of ground source heat pump systems. …”
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Modeling a Green and Reliable Intermodal Routing Problem for Food Grain Transportation Under Carbon Tax and Trading Regulations and Multi-Source Uncertainty by Yan Sun, Chen Zhang, Ailing Chen, Guohua Sun

“…To overcome the model’s insolvability and the difficulty in finding the global optimum solution to a nonlinear optimization model, a two-stage solution method is developed, employing chance-constrained programming and linearization technique to reformulate the initial model. …”
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Phase Estimation Using an Optimization Algorithm to Improve Ray-Based Blind Deconvolution Performance by Wonjun Yang, Dong-Gyun Han

“…This paper proposes a method to improve RBD performance by estimating the phase of the source waveform using an optimization algorithm. …”
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Review of Demand Response-based Optimal Scheduling of Electric and Thermal Integrated Energy Systems by Jingshan MO, Guangxian YAN, Na SONG, Mingyang YUAN

“…Artificial intelligence algorithms are primarily divided into methods based on group optimization problems and machine learning algorithms. …”
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A simple 60‐pulse voltage source inverter using voltage reinjection strategy to improve voltage harmonics for high‐power local loads by Saeed Najafpour, Reza Ghandehari

“…According to the results, the proposed method has generated a semi‐sinusoidal voltage waveform with THDV=3.78% in the laboratory.…”
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Portraying heritage corridor dynamics and cultivating conservation strategies based on environment spatial model: an integration of multi-source data and image semantic segmentatio... by Jinliu Chen, Xiaoxin Zhao, Haoqi Wang, Jianxiong Yan, Di Yang, Kong Xie

“…The restoration and optimization of heritage corridors should combine a comprehensive, precise, and people-oriented spatial quality assessment, and the GIS-based ESM analysis method could be an effective decision-making support system.…”
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PyIT2FLS: An open-source Python framework for flexible and scalable development of type 1 and interval type 2 fuzzy logic models by Amir Arslan Haghrah, Sehraneh Ghaemi, Mohammad Ali Badamchizadeh

“…This comprehensive toolkit bridges the divide between fuzzy logic theory and practical applications, enabling the rapid development of novel intelligent methods and schemes.…”
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Wireless Power Transfer Optimization with a Minimalist Single-Capacitor Design for Battery Charging by Sabriansyah Rizqika Akbar, Wijaya Kurniawan, Achmad Basuki, Agung Setia Budi, Barlian Henryranu Prasetio

“…Here, the WPT power output to the load is chosen as the fitness function, while the constraints are the available capacitance and voltage source frequency values. A case study with MATLAB R2024b simulation shows that the proposed method successfully delivers the highest possible power transfer delivery, which is around 0.1 watts using a normalized AC voltage source amplitude of 1 volt. …”
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An innovative approach to monitoring non-point source pollution at a field scale: online monitoring system for continuous cropping with a serial pipeline by Peipei FENG, Gaofei YIN, Qingyi ZHU, Tongyang LI, Bin XI, Xiaoyuan XU, Huiqing JIAO, Hongda WEN, Lingling HUA, Wenchao LI

“…Although the established method, field experiment plots, was used effectively in the first and second national pollution source census in China. …”
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Optimal Dual RNA-Seq Mapping for Accurate Pathogen Detection in Complex Eukaryotic Hosts by Infanta Eden M., Umashankar Vetrivel

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Melt Density Monitoring of Extruder Extrusion Process Based on Multi-source Data Fusion and Convolutional Long Short-term Memory Neural Network by Binbin ZHANG, Zhuyun CHEN, Fei ZHANG, Gang JIN

“…Ensuring precise control over melt density is imperative for achieving desired product characteristics and maintaining process stability in polymer blending operations.Methods The research proposes a novel methodological framework that integrates multi-source data fusion with a convolutional long short-term memory (LSTM) neural network architecture to address this challenge. …”
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Design of Multi-Objective Energy Management for Remote Communities Connected with an Optimal Hybrid Integrated Photovoltaic–Hydropower–Battery Energy Storage System (PV-HP-BESS) Us... by Chaimongkol Pengtem, Saksit Deeum, Amirullah, Hideaki Ohgaki, Sillawat Romphochai, Pimnapat Bhumkittipich, Krischonme Bhumkittipich

“…The multi-objective functions enhance power quality and voltage stability to meet grid code requirements. The proposed method was applied to the IEEE 15-bus system, which is consistent with systems commonly used in remote area communities, under the following scenarios: Case I—random installation of PV-HPP-BESS and PI parameter control of BESS; Case II—optimal location of PV-HP-BESS and PI parameter control of BESS using IPSO; Case III—sudden short circuit of the transmission line in Case II. …”
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Modeling Energy Communities: A Case Study of Quantum Approximate Optimization on a Superconducting Processor by Mateo Alonso, Guillermo Rubinos Rodriguez, Pablo Diez-Valle, Ana Garbayo, Xela Garcia-Santiago, Gonzalo Blazquez Gil

“…Given the increasing complexity as the problem size grows and the limitations of classical computing methods in addressing it, we study an approach that models the problem using QUBO and solves it applying quantum optimization algorithms. …”
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INFORMATION TECHNOLOGIES IN OPTIMIZING SCIENTIFIC RESEARCH IN THE SPHERE OF THEORETICAL AND APPLIED LINGUISTICS IN THE DIGITAL AGE by M. V. Kamensky

“…The article contains the results of analysis of viable trajectories of optimizing the linguistic scientific workflow using contemporary applied linguistics methodology, corpus analysis methods and natural language processing techniques. …”
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Comparative analysis and selection of the geometry of the microphone array based on MEMS microphones for sound localisation by Andrii Riabko, Tetiana Vakaliuk, Oksana Zaika, Roman Kukharchuk, Yuriy Smorzhevsky

“…The tasks to be addressed include analyzing spatial-frequency characteristics of various microphone array geometries (Uniform Linear Array, Uniform Planar Array, Uniform Circular Array, and Uniform Concentric Array), comparing beamforming algorithms (delay-and-sum, differential, and superdirective), and evaluating their performance under isotropic noise fields and coherent noise sources. The methods used involve the application of both established and author-derived analytical models for transfer functions and directivity coefficients, as well as experimental validation using a prototype device built on a Raspberry Pi 5 platform with an Adafruit PCA9548 8-Channel STEMMA QT expansion board and SPH0645LM4H-B omnidirectional MEMS microphones. …”
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Development and validation of microwave-assisted extraction for phenolic compound profiling in diverse oyster mushrooms (Pleurotus spp.) sourced from various geographical regions by M Umar Harun, Miguel Palma, Widiastuti Setyaningsih

“…This study aimed to develop and validate a microwave-assisted extraction (MAE) method for profiling phenolic compounds in a diverse selection of oyster mushrooms (Pleurotus spp.) sourced from multiple geographical regions. …”
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Stability optimization of dynamic migration algorithm for Post-Copy of virtual machine based on KVM by Shuangxi CHEN, Ruoyan ZHAO, Hui LIU, Chunming WU, Wei RUAN

“…The dynamic migration technology of virtual machine provides a strong support for the resource scheduling of virtualization system.As one of the two core algorithms of virtual machine dynamic migration, Post-Copy algorithm has been a hot issue for scholars at home and abroad for its advantages of stable migration time and short migration downtime.The fault tolerance mechanism of virtual machine, the connection between the transfer mode of memory page and the page missing error during the migration process, and the source code of QEMU-KVM platform were studied.A fault tolerant method based on transaction synchronization was proposed to improve the stability of the Post-Copy migration algorithm.The experimental results show that the proposed algorithm can ensure the fast repair of deep end virtual machine failure, target virtual machine failure and network fault during the migration process, and solve the stability problem at a small cost.The method proposed effectively improves the stability of the Post-Copy migration algorithm, and provides reference for the future optimization research direction.…”
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Integrating LLM-based code optimization with human-like exclusionary reasoning for computational education by Yi Rong, Tianfeng Du, Roubing Li, Wenting Bao

“…Implemented on a suite of open-source models and trained with publicly available Python corpora, our method proves model-agnostic and lightweight. …”
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Three-dimensional finite-time optimal cooperative guidance with integrated information fusion observer by Yiao Zhan, Linwei Wang, Di Zhou

“…The proposed FTOC guidance law employs a nonlinear, non-quadratic finite-time optimal control strategy designed for rapid convergence within the limited timeframes of near-space interceptions, avoiding the need for remaining flight time estimation or linear decoupling inherent in traditional methods. …”
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