Improving Segmentation of MRI Images of Brain Glial Cells Using Fuzzy C-Means Algorithm and Combination of PET Images by Wei Wang, Wu Beibei

“…The proposed method demonstrates improved performance compared to traditional segmentation techniques, providing a robust tool for clinicians to make more informed decisions in diagnosing and planning treatments for gliomas. This research highlights the potential of combining multimodal imaging data with advanced computational algorithms to streamline medical imaging workflows. …”
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Classification of Anxiety Levels of IGD Patients at RSU Royal Prima Medan Using Support Vector Machine (SVM) Algorithm by Kharisma Gunanta Ginting, Nugroho Prasetyo, Al Vino Gunawan, Magdalena Sihombing, Adli Abdillah Nababan

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Etiology and management of urethral calculi: A systematic review of contemporary series by Andrew Morton, Arsalan Tariq, Nigel Dunglison, Rachel Esler, Matthew J. Roberts

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Identifying common disease trajectories of Alzheimer’s disease with electronic health recordsResearch in context by Mingzhou Fu, Sriram Sankararaman, Bogdan Pasaniuc, Keith Vossel, Timothy S. Chang

“…Our validation in the All of Us cohort confirmed the reproducibility of these trajectory patterns in a more diverse population. Interpretation: Our findings demonstrate the value of examining sequential diagnostic patterns in AD pathogenesis. …”
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Analysis of the Urban Development Technologies of Ukek using Neural Networks (preliminary research results) by Singatulin Rustam A.

“…Complex patterns and associations between archaeological, historical, and geological data from different years were identified. …”
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Load demand forecasting in air conditioning a rotor Hopfield neural network approach optimized by a new optimization algorithm by Mingguang Liu, Weibo Zhao, Ying Zhou, Mahdiyeh Eslami

“…Abstract Load demand forecasting is crucial for optimal energy management and sustaining comfortable indoor environments for air conditioning systems. The current research provides load demand prediction by a new modified rotor Hopfield neural network (RHNN) integrated with a fractional order of seasons optimization algorithm (FO-SOA) to overcome the challenge of predicting load demand. …”
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Intelligent Algorithm Deep Learning Reinforcement Learning Module Integrated into the Navigation System to Enhance the Ability of Navigation to Accurately Serve Users by Li Jinhao

“…Subsequently, machine - learning algorithms are utilized to analyze user behavior data, identifying personalized demand patterns. …”
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Modeling uncertainties associated with decision-making algorithms based on similarity measures of possibility belief interval-valued fuzzy hypersoft setting by Mamika Ujianita Romdhini, Faisal Al-Sharqi, R.H. Al-Obaidi, Zahari Md. Rodzi

“…Furthermore, we introduce a similarity measure to facilitate pattern recognition in PIVFHS-sets, aiding users in recruitment processes. …”
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Enhancing Creativity and Validation in Explanatory Deep Learning-Based Symbolic Music Generation: A Hybrid Approach With LSTM and Genetic Algorithms by Ahmad Zainul Fanani, Arry Maulana Syarif, Ika Novita Dewi, Abdul Karim

“…These findings support the effectiveness of the proposed model in fostering creative exploration of new tonal patterns aligned with the target genre.…”
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A novel framework for assessing shrublines and their geophysical constraints in alpine regions through probabilistic vegetation mapping and seed-filling algorithm by Zexi Ren, Lin Zhang, Qianlong Wang, Wanjun Hu, Zhou Shi

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Research on ecological management zoning in Jilin Province based on a human well-being framework by Baihao Zhang, Jiafu Liu, Zhenyu Zhang, Yu Zhu

“…Food production services exhibit a spatial pattern characterized by an increase in the central region while declining in the eastern and western areas. …”
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The role of smart electricity meter data analysis in driving sustainable development by Archana Y. Chaudhari, Preeti Mulay, Shradha Chavan

“…The CGMIC algorithm first extracts load patterns from new data and then either intergrades the existing load patterns or forms new ones. …”
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Hydrological Object‐Based Flow Direction Model for Constructing a Lake‐Stream Topological System by Fei Zhao, Liyang Xiong, Chuzhi Zhang, Hong Wei, Kai Liu, Guoan Tang

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The global landscape of emotion recognition research from 2004 to 2023: a scientometric and visualization analysis by Peng Liu, Changzheng Yang, Kai Wang

“…Despite rapid evolution from psychological approaches to AI-driven methods, the field lacks a systematic understanding of its knowledge structure and research patterns. This scientometric analysis examined 39,686 articles from the Web of Science (2004–2023), revealing the field's intellectual structure and major research clusters. …”
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Enhanced Automatic Generation Control in Multiarea Power Systems: Crow Search Optimized Cascade FOPI‐TIDDN Controller With Integrated Renewable Solar Thermal Models and HVDC Lines... by Naladi Ram Babu, Pamarthi Sunitha, Ganesh Pardhu B. S. S., Sanjeev Kumar Bhagat, Adireddy Ramesh, Arindita Saha, Wulfran Fendzi Mbasso, Pradeep Jangir, Ahmed Hossam‐Eldin

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Research on the Construction and Application of Earthquake Emergency Information Knowledge Graph Based on Large Language Models by Wentao Zhou, Meng Huang, Shuai Liu, Qiao You, Fanxin Meng

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Understanding Clinician Knowledge About Race Adjustment in the Vaginal Birth After Cesarean Calculator by Julia Cron, Amelia A. Shapiro, Laura Carasimu, Julia Iyasere, Johanna M. Schisler, Szilvia Nagy, Sandra Angus, Anna Burgansky, Ashlesha K. Dayal, Tracy Bohn Hemmerdinger, Denise Howard, Corrina Oxford-Horrey, Donald C. Phillibert, Jean-Ju Sheen, Dena Goffman

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Integrative electricity need prediction utilizing enhanced squeeze net and flexible Coyote optimization algorithm A combination of RCPs SSPs and socioeconomic by Bin Yang, Bin Song, Yadegar Abdi

“…Precise prediction of power consumption is critical for effective resource management. This research has demonstrated a new approach to forecasting that combines social and economic variables with climate factors using an advanced meta-heuristic algorithm to improve the accuracy and efficiency of the compact network. …”
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Characterization of Multilayer Capacitive Sensor for Water Content Detection Application in Seaweed Drying Process Using Fast Fourier Transform (FFT) Algorithm by Andi Rosman N, Isdaryanti Isdaryanti

“…The research method consists of making the sensor, calibrating the sensor using the gravimetric method, and performing two measurement schemes, namely measuring changes in the ADC value of the sensor as a representation of the seaweed moisture content value and measuring changes in the frequency value of the sensor as a representation of the moisture content value using FFT algorithm. …”
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Short-term solar irradiance forecasting model based on hyper-parameter tuned LSTM via chaotic particle swarm optimization algorithm by V Ashok Gajapati Raju, Janmenjoy Nayak, Pandit Byomakesha Dash, Manohar Mishra

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