Aspect-Based Sentiment Analysis for Afaan Oromoo Movie Reviews Using Machine Learning Techniques by Obsa Gelchu Horsa, Kula Kekeba Tune

“…The implementation result shows that the optimal values of models’ performance evaluation parameters were generated using different hyperparameter tuning settings.…”
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Back analysis of geomechanical parameters based on a data augmentation algorithm and machine learning technique by Hui Li, Weizhong Chen, Xianjun Tan

“…Accurate geomechanical parameters are key factors for stability evaluation, disaster forecasting, structural design, and supporting optimization. …”
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A Hybrid Artificial Bee Colony Algorithm for the Service Selection Problem by Changsheng Zhang, Bin Zhang

“…Finally, this approach is evaluated experimentally using different standard real datasets and synthetically generated datasets and compared with some recently proposed related service selection algorithms. …”
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The Impact of Nature Reserves on the Ecological Network of Urban Agglomerations—A Case Study of the Urban Agglomeration in the Middle Reaches of the Yangtze River by Weidi Li, Xiaoxu Liang, Anqiang Jia, John Martin

“…Subsequently, a resistance surface is constructed through a comprehensive evaluation method to assess ecological barriers. Then, ecological corridors are generated using circuit theory tools. …”
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Enhancement in Bearing Fault Classification Parameters Using Gaussian Mixture Models and Mel Frequency Cepstral Coefficients Features by Youcef ATMANI, Said RECHAK, Ammar MESLOUB, Larbi HEMMOUCHE

“…Last decades, rolling bearing faults assessment and their evolution with time have been receiving much interest due to their crucial role as part of the Conditional Based Maintenance (CBM) of rotating machinery. …”
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Feasibility study of automatic radiotherapy treatment planning for cervical cancer using a large language model by Shuoyang Wei, Ankang Hu, Yongguang Liang, Jingru Yang, Lang Yu, Wenbo Li, Bo Yang, Jie Qiu

“…The emergence of artificial intelligence, particularly Large Language Models (LLMs), surpassing human capabilities and existing algorithms in various domains, presents an opportunity to automate and enhance this optimization process. Purpose This study seeks to evaluate the capacity of LLMs to generate radiotherapy treatment plans comparable to those crafted by human medical physicists, focusing on target volume conformity and organs-at-risk (OARs) dose sparing. …”
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Comment interpréter une chronologie événementielle en géohistoire ? L’exemple de deux siècles et demi d’avalanches dans le Massif vosgien by Florie Giacona, Nicolas Eckert, Brice Martin

“…On the basis of a geohistorical and systemic approach, this article provides a lecture grid that operationalizes the contextualization workflow, so as to optimize the chronologies of past events. The spatial and temporal matching between the events and the different components of the territorial system studied leads to a comprehension of all factors at play, and thus, of the hazard and risk evolution. …”
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Roller Bearing Fault Diagnosis Based on Adaptive Sparsest Narrow-Band Decomposition and MMC-FCH by Yanfeng Peng, Junhang Chen, Yanfei Liu, Junsheng Cheng, Yu Yang, He Kuanfang, Guangbin Wang, Yi Liu

“…Afterward, a component is generated by filtering the original signal with the optimized filter. …”
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Application of the Endurance Time Method in the Seismic Assessment of Moment-Resisting Reinforced Concrete Frames with Setbacks by Mehdi Izadpanah

“…In this method, acceleration functions are generated using optimization algorithms, reducing the need for excessive use of accelerograms. …”
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Advancing Korean Medical Large Language Models: Automated Pipeline for Korean Medical Preference Dataset Construction by Jean Seo, Sumin Park, Sungjoo Byun, Jinwook Choi, Jinho Choi, Hyopil Shin

“…Each pair consisted of a “chosen” response and a “rejected” response, as determined by their DAHL scores. The dataset was evaluated when trained through two different alignment tuning methods, direct preference optimization (DPO) and odds ratio preference optimization (ORPO) respectively across five different models. …”
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Autonomous Robotic Path Planning Based on the Gaussian Mixture Model in Complex Manufacturing Environment by Rui Sun, Yuanmin Wang, Wenzheng Zhao, Yinhua Liu

“…First, in the narrow and complex manufacturing environment, the Gaussian mixture model based on obstacles is used to calculate the collision probability of the robot arm in different poses. Secondly, the initial path is determined using the path generation configuration library, and a segmented path fitness function is introduced to evaluate the quality of the path quantitatively. …”
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Interconnected Operation and Economic Feasibility-Based Sustainable Planning of Virtual Power Plant in Multi-Area Context by Anubhav Kumar Pandey, Vinay Kumar Jadoun, Jayalakshmi N. Sabhahit, Sachin Sharma

“…Furthermore, a comprehensive numeric evaluation was performed with different optimization intervals, which revealed the rapid convergence in minimal computational time to reach the desired solution.…”
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A Dockerized Approach to Dynamic Endpoint Management for RESTful Application Programming Interfaces in Internet of Things Ecosystems by Ebenhezer Mabotha, Nkateko E. Mabunda, Ahmed Ali

“…The growth of IoT devices has generated an increasing demand for effective, agile, and scalable deployment frameworks. …”
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INTEGRATED EXPLORATION OF GEOTHERMAL RESOURCES by A. B. Alkhasov, D. A. Аlkhasova, R. M. Aliyev, A. Sh. Ramazanov

“…The aim is to develop the energy efficient technologies to explore hydro geothermal resources of different energy potential.Methods. Evaluation of the effectiveness of the proposed technologies has been carried out with the use of physical and mathematical, thermodynamic and optimization methods of calculation and the physical and chemical experimental research.Results. …”
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Research on Parameter Extraction Method of Photovoltaic Module Based on Improved Hybrid Algorithm by Haitao Wu, Zhou Shang

“…Correct extraction of the equivalent circuit model parameters of photovoltaic modules is of great significance for power prediction, fault diagnosis, and system optimization of photovoltaic power generation systems. …”
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Decomposition-Based Multiobjective Evolutionary Algorithm for Community Detection in Dynamic Social Networks by Jingjing Ma, Jie Liu, Wenping Ma, Maoguo Gong, Licheng Jiao

“…The other is the temporal cost, which evaluates the difference between communities at different time steps. …”
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Review on atomistic and quantum mechanical simulation approaches in chemical mechanical planarization by Seokgyu Ryu, Murali Ramu, Patrick Joohyun Kim, Junghyun Choi, Kangchun Lee, Jihoon Seo

“…DFT calculations elucidate electronic structure-property relationships governing selectivity between different materials, while MD simulations capture real-time surface evolution and particle dynamics. …”
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Peningkatan Akurasi Metode Weighted Fuzzy Time Series Forecasting Menggunakan Algoritma Evolusi Differensial dan Fuzzy C-Means by Agus Fachrur Rozy, Solimun Solimun, Ni Wayan Surya Wardhani

“…Although the WFTS method has proven effective, there are challenges in improving the accuracy of the generated forecasts. There are two commonly applied approaches: the Differential Evolution (DE) algorithm and Fuzzy C-Means (FCM). …”
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Landslide Susceptibility Mapping in Darjeeling Himalayas, India by Amit Chawla, Sowmiya Chawla, Srinivas Pasupuleti, A. C. S. Rao, Kripamoy Sarkar, Rajesh Dwivedi

“…Landslide influencing factors in the study area are drainage, lineament, slope, rainfall, earthquake, lithology, land use/land cover, fault, valley, soil, relief, and aspect. These factors were evaluated for the generation of thematic data layers. …”
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Planning Model for Renewable Energy with Energy Storage Replacing Thermal Power Based on Time Series Operation Simulation by Dawei REN, Chen JIN, Jinming HOU, Jinyu XIAO, Ershun DU, Yuanbing ZHOU

“…Secondly, the proposed model and method were used to optimize the power generation and energy storage capacities for a regional power grid under three scenarios of high-, medium-, and low-cost, and the evolution process for renewable energy with energy storage to replace the thermal power under different cost scenarios was quantitatively analyzed. …”
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