Development of an Intelligent Method for Target Tracking in Radar Systems at the Initial Stage of Operation Under Intentional Jamming Conditions by Serhii Semenov, Olga Wasiuta, Alla Jammine, Justyna Golec, Magdalena Krupska-Klimczak, Yevhen Tarasenko, Vitalii Voronets, Vitalii Breslavets, Serhii Lvov, Artem Moskalenko

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Progress on additive manufacturing technology of solid propellants by Christian Ingabire, Dao-lun Liang, Li-xiang Li

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Do indigenous people get left behind? An innovative methodology for measuring the unmeasurable economic conditions and poverty from the poorest region of Luzon, Philippines by Emmanuel A. Onsay, Jomar F. Rabajante

“…This work puts forth fresh approaches to quantify the incalculable multifaceted poverty and socioeconomic conditions: (i) a thorough statistical analysis using diagnostic and descriptive analytics to examine socioeconomic situations; (ii) combining sophisticated econometrics and predictive analytics to measure multidimensional poverty; and (iii) integrating machine learning to model socioeconomic situations and prescriptive analytics to develop policy. …”
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Beyond condoms: unpacking the complex web of stigma, cost and gender disparities in STI healthcare-seeking among high-risk subgroups in Sub-Saharan Africa by Joseph Opeolu Ashaolu, Steven Ogunbola, Kehinde R. Odewumi, Oluwayemisi Bukola Tanimowo, Sylvain Y. M. Some

“…Equitable intervention strategies using machine learning (XGBoost, Random Forest, Logistic Regression) on a retrospective database (N=400), from Ekiti State Teaching Hospital, Nigeria (January–October 2024) was modelled. …”
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IT Parkinson’s Disease Diagnostics Based on the Freezing of Gait Analysis Using Long Short Term Memory Neural Network by U. A. Vishniakou, Xia YiWei

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Optimizing knee osteoarthritis severity prediction on MRI images using deep stacking ensemble technique by Punita Panwar, Sandeep Chaurasia, Jayesh Gangrade, Ashwani Bilandi, Dayananda Pruthviraja

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Adaptive deep SVM for detecting early heart disease among cardiac patients by S. N. Netra, N. N. Srinidhi, E. Naresh

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Spatiotemporal evolution characteristics and driving mechanisms of wildfires in China under the context of climate change and human activities by Guozhuang Zhang, Leyi Zhang, Xia Li, Xiaohua Feng, Yaru Wang, Jingchao Guo, Peizhe Li, Xindong Wei

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Data analysis-based framework for the design and assessment of chemical process plants: a case study in amine gas-treating systems by Rahul Gupta, Gladys Navas, Daniela Galatro

“…This work presents a process-integrity assessment framework to chemical process design that combines first principles, heuristics, vendor specifications, standards/codes, data analysis, and machine learning modelling, hypothesized as an efficient route for optimal process design. …”
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Design and performance analysis of wear-resistant micro-groove cutting tool: Numerical simulation and experimental study by Feilong Du, Fukuan Chen, Tao Zhou, Hongfei Yao, Xuefeng Zhao, Dongwei Zhu, Lin He

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Estimating forest aboveground carbon sink based on landsat time series and its response to climate change by Kun Yang, Kai Luo, Jialong Zhang, Bo Qiu, Feiping Wang, Qinglin Xiao, Jun Cao, Yunrun He, Jian Yang

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The Rise of Artificial Intelligence Phobia! Unveiling News-Driven Spread of AI Fear Sentiment Using ML, NLP, and LLMs by Jim Samuel, Tanya Khanna, Julia Esguerra, Srinivasaraghavan Sundar, Alexander Pelaez, Soumitra S. Bhuyan

“…Nearly 70,000 AI-related news headlines were analyzed using natural language processing (NLP), machine learning (ML), and large language models (LLMs) to identify dominant themes and sentiment patterns. …”
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Multi-omics analysis reveals the sensitivity of immunotherapy for unresectable non-small cell lung cancer by Rui Wu, Kunchen Wei, Xingshuai Huang, Yinge Zhou, Xiao Feng, Xin Dong, Hao Tang

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Identifying Patients’ Preference During Their Hospital Experience. A Sentiment and Topic Analysis of Patient-Experience Comments via Natural Language Techniques by Yuan J, Chen X, Yang C, Chen J, Han P, Zhang Y, Zhang Y

“…The associations of patient satisfaction and loyalty scores with the occurrence of certain patient comments were tested via logistic regression analysis.Results: In total, 28054 free-text comments were collected (comment rate: 72.67%). The accuracy of the machine learning approach and the deep learning approach for topic modeling and sentiment analysis was 0.98 and 0.91 respectively, indicating a satisfactory prediction. …”
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A survey of decision-making and planning methods for self-driving vehicles by Jun Hu, Jun Hu, Yuefeng Wang, Shuai Cheng, Jinghan Xu, Ningjia Wang, Bingjie Fu, Zuotao Ning, Jingyao Li, Hualin Chen, Chaolu Feng, Yin Zhang

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Sentiment classification for telugu using transformed based approaches on a multi-domain dataset by Kannaiah Chattu, K. Adi Narayana Reddy, Sai babu veesam, Pardha Saradhi Chirumamilla, Vunnava Dinesh Babu, Krishna Prakash, Shonak Bansal, Mohammad Rashed Iqbal Faruque, K. S. Al-mugren

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Evaluating Properties and Applications of Innovative Recycled Aggregate Concrete by Kameshwar Sahani, Anish Kunwar, Prajwal Dhakal, Arjun Kunwar, Suresh Kumar Sahani, Binay Kumar Pandey, Digvijay Pandey

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Daily physical activity and trajectories of care service use among older adults: the HUNT4 Trondheim 70+ study by Astrid Ustad, Trine Holt Edwin, Kjerstin Næss Melsæter, Karen Sverdrup, Karen Sverdrup, Gro Gujord Tangen, Gro Gujord Tangen, Øystein Døhl, Øystein Døhl, Pernille Thingstad, Pernille Thingstad, Beatrix Vereijken, Nina Skjæret-Maroni

“…At baseline, physical activity was assessed over seven consecutive days using two accelerometers attached to the thigh and lower back. An activity type machine learning model was used to classify the physical activity types: walking, standing, cycling, running, sitting, and lying. …”
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Intelligent voice assistant as an example of inclusive design methodology implementation by A. A. Zakharov, I. G. Zakharova, A. M. Shabalin, Sh. I. Khanbekov, D. B. Dzhalilzoda

“…To recognise questions, search for answers, and support dialogues carried out by a voice assistant, the authors applied natural language text analysis methods and classification models created using machine learning methods.Results. …”
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Energy Demand Forecasting and Policy Development in Turkey by Ercan Köse, Sevil Kutlu Kaynar

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