Fine Tuning Hyperparameters of Deep Learning Models Using Metaheuristic Accelerated Particle Swarm Optimization Algorithm by Abdel-Hamid M. Emara, Ghada Atteia, Jawad Hasan Alkhateeb

“…In recent years, Convolutional Neural Networks (CNNs) have emerged as powerful tools for solving complex real-world problems, particularly in the domain of image processing. …”
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Hotspots and super-spreaders: Modelling fine-scale malaria parasite transmission using mosquito flight behaviour. by Luigi Sedda, Robert S McCann, Alinune N Kabaghe, Steven Gowelo, Monicah M Mburu, Tinashe A Tizifa, Michael G Chipeta, Henk van den Berg, Willem Takken, Michèle van Vugt, Kamija S Phiri, Russell Cain, Julie-Anne A Tangena, Christopher M Jones

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Automatic classification of Chinese programming MOOC reviews using fine-tuned BERTs and GPT-augmented data by Xieling Chen, Haoran Xie, Di Zou, Lingling Xu, Fu Lee Wang

“…In massive open online course (MOOC) environments, computer-based analysis of course reviews enables instructors and course designers to develop intervention strategies and improve instruction to support learners’ learning. …”
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Perceived MOOC satisfaction: A review mining approach using machine learning and fine-tuned BERTs by Xieling Chen, Haoran Xie, Di Zou, Gary Cheng, Xiaohui Tao, Fu Lee Wang

“…Additionally, the regression analysis identifies key factors affecting learner satisfaction, such as the positive influence of “Instructor” frequency and the negative impact of “Platforms and tools” and “Process”. These insights offer valuable guidance for educators, course designers, and platform developers, contributing to the optimization of MOOC offerings to better meet the evolving needs of learners.…”
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Fine-Tuning Retrieval-Augmented Generation with an Auto-Regressive Language Model for Sentiment Analysis in Financial Reviews by Miehleketo Mathebula, Abiodun Modupe, Vukosi Marivate

“…Additionally, the pre-training of a larger language model (PTLM) struggles to capture bidirectional contextual knowledge learnt through word dependency because the sentence-level representation fails to take broad features into account. We develop a novel structure called language feature extraction and adaptation for reviews (LFEAR), an advanced natural language model that amalgamates retrieval-augmented generation (RAG) with a conversation format for an auto-regressive fine-tuning model (ARFT). …”
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Assessing Ultrasonography as a Diagnostic Tool for Porcine Cysticercosis. by Robert H Flecker, Ian W Pray, Saul J Santivaňez, Viterbo Ayvar, Ricardo Gamboa, Claudio Muro, Luz Maria Moyano, Victor Benavides, Hector H Garcia, Seth E O'Neal

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Identification of DNA N6-methyladenine modifications in the rice genome with a fine-tuned large language model by Yichi Zhang, Hao Chen, Shicheng Xiang, Zhibin Lv

“…This study provides a powerful tool for advancing research in rice 6mA epigenetics.…”
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Effective Multi-Class Sentiment Analysis Using Fine-Tuned Large Language Model with KNIME Analytics Platform by Jin-Ching Shen, Nai-Jing Su, Yi-Bing Lin

“…Using the KNIME analytics platform as an accessible, no-code interface, our approach streamlines and simplifies model development and deployment, making an advanced sentiment analysis tool more usable and cost-effective for enterprises. …”
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Preparation of fine-grained/ultrafine-grained Nb521 alloy with superior mechanical property by friction stir processing by Haonan Wang, Bowen Li, Xin Xin, Wen Wang, Kuaishe Wang

“…These findings provided new ideas for the development of high-performance niobium alloys.…”
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Predicting coefficient of volume compressibility of fine-grained soils using appropriate soil type and soil state parameters by K. S. Vivekananda, H. B. Nagaraj

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Dataset of CO2 geological storage potential and injection rate capacity in China based on fine grid technology by Jing-Li Fan, Xiaojuan Xiang, Yue Yao, Kai Li, Zezheng Li, Shijie Wei, Yujie Diao, Zhanqi Ju, Xiangqian Li, Xiaochun Li, Bo Peng, Jinfeng Ma, Shengwen Qi, Xian Zhang

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Fine scale prediction of ecological community composition using a two-step sequential Machine Learning ensemble. by Icíar Civantos-Gómez, Javier García-Algarra, David García-Callejas, Javier Galeano, Oscar Godoy, Ignasi Bartomeus

“…Robust models for predicting fine-scale species composition informed by the mechanistic understanding of the underlying abiotic and biotic processes can be a pivotal tool for conservation, especially given the human-induced rapid environmental changes we are experiencing. …”
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Fine-Tuned Machine Learning Classifiers for Diagnosing Parkinson’s Disease Using Vocal Characteristics: A Comparative Analysis by Mehmet Meral, Ferdi Ozbilgin, Fatih Durmus

“…<b>Results</b>: It has been found that Stacking models, especially those fine-tuned via Grid Search, yielded the best performance with 92.07% accuracy and an F1-score of 0.95. …”
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Fine-Scale Risk Mapping for Dengue Vector Using Spatial Downscaling in Intra-Urban Areas of Guangzhou, China by Yunpeng Shen, Zhoupeng Ren, Junfu Fan, Jianpeng Xiao, Yingtao Zhang, Xiaobo Liu

“…Generating fine-scale risk maps for mosquito-borne diseases vectors is an essential tool for guiding spatially targeted vector control interventions in urban settings, given the limited public health resources. …”
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Sticking with it: a multi-sensor tag to reveal the foraging ecology and fine-scale behavior of elusive durophagous stingrays by Cecilia M. Hampton, Breanna C. DeGroot, Lauran R. Brewster, Kim Bassos-Hull, Benjamin A. Metzger, T. Aran Mooney, Matthew J. Ajemian

“…Here we sought to develop and apply a novel, minimally invasive tagging approach to investigate the movements, behaviors, and ecological interactions of these understudied species. …”
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SYNERGY BY MOLYBDENUM AND NIOBIUM ON PERFORMANCE OF COLD WORK TOOL STEELS by Aslan Unal

“…Die manufacturing is open to innovation as the main input is steel. Cold work tool steels (CWTS) are frequently preferred in the die industry. …”
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Art collaboration as a branding tool for the post-industrial region by Igor M. Alikperov, Aleksey A. Mezyurov

“…The competitive environment in which cities and regions of the country are developing requires not only the preservation of industrial, scientific, cultural heritage, but also the saturation of leisure life with interesting, original cultural events, an effective tool for the implementation of which is art collaboration.The objective of the study is to reveal the possibilities of art collaboration in creating new cultural products that will help make the urban space more creative, competitive, which will allow creating an understandable brand of the region and solving many municipal socio-economic problems. …”
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Automatic melanoma and non-melanoma skin cancer diagnosis using advanced adaptive fine-tuned convolution neural networks by Muhammad Amir Khan, Tehseen Mazhar, Muhammad Danish Ali, Umar Farooq Khattak, Tariq Shahzad, Mamoon M. Saeed, Habib Hamam

“…Our advanced adaptive fine-tuned CNN approach for automatic skin cancer diagnosis offers a valuable tool for efficient and accurate early detection. …”
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Agent-based modeling in cancer biomedicine: applications and tools for calibration and validation by Nicolò Cogno, Cristian Axenie, Roman Bauer, Vasileios Vavourakis

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Prediction of Electrical Resistivity of Concrete Containing Electric Arc Furnace Slag as Fine Aggregate Using Gene Expression Programming Method by Babak Behforouz, Sina Moghbel Esfahani, Davoud Tavakoli

“…In recent years, there has been a growing interest in developing sustainable concrete alternatives that reduce reliance on natural aggregates and promote waste recycling. …”
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