MINIMALISASI SAMPAH PLASTIK DI KAMPUNG JAWA MELALUI GERAKAN “DIET SAMPAH PLASTIK” by Karina Karina, Taufiq Ihsan

“…Community education and intelligence in managing plastic waste are very much needed; even minimizing plastic waste needs to be instilled early on to achieve a clean, healthy, and comfortable environment. …”
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Natural Language Processing Techniques for Information Retrieval Enhancing Search Engines with Semantic Understanding by S Subi, B Shanthini, M SilpaRaj, K Shekar, G Keerthana, R Anitha

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Leveling Up Medical Education: A Perspective on Exploring Traditional and Blended Gamification with Emerging Technologies by leili mosalanejad, Mohsen keshavarz, Saeed Abdollahifard

“…Ultimately, a hybrid approach that combines traditional and blended gamification can create a comprehensive, competency-focused framework, preparing future healthcare professionals to meet the ethical, technological, and collaborative demands of modern medicine.…”
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Leveraging Emerging Technologies to Document Abuses and Amplify Marginalised Voices in Conflict Zones: Lessons from Afghanistan by Murtaza Mohiqi

“…Technology is explored not merely as a passive recorder but as an active agent of accountability, employing innovative applications like artificial intelligence and blockchain to ensure evidence integrity and strengthen legal recourse. …”
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A Hybrid Automata-Driven Machine Learning Framework for Real-Time Energy Optimization in Smart Buildings by Rikame Rajashri, Ranjan Mritunjay Kr., Jadhav Monali, Wankhede Shrushti, Bankar Sakshi, Bachhav Pranjal

“…Conventional energy forecasting techniques are usually not responsive to dynamic energy environments and, therefore, create inefficiencies in energy distribution. This study presents a hybrid approach that combines Finite Automata (FA) with sophisticated Machine Learning (ML) algorithms and Artificial Intelligence (AI) to minimize energy consumption in smart buildings. …”
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A method for protecting digital assets from permanent loss in the event of private key loss by Олег Бойко

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A Metaheuristic-Trained Wavelet Neural Network for Predicting of Soil Liquefaction Based on the Standard Penetration Test Results by Ali Reza Ghanizadeh, Ahmad Aziminejad

“…The approach involves combining Wavelet Neural Network (WNN) and Teaching-Learning Based Optimization (TLBO) techniques to create a binary classification model. The dataset used for this study contains 288 data points, ensuring reliability. …”
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Cloud Removal in Full-disk Solar Images Using Deep Learning by Zhenhong Shang, Peng Du, Zhenping Qiang, Runxin Li

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Super-resolution reconstruction of the 1 arc-second Australian coastal DEM dataset by Bo Zhang, Zekai Shi, Danfeng Hong, Qi Wang, Jian Yang, Haoyuan Ren, Meng Zhang

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Simultaneous Mental Fatigue and Mental Workload Assessment With Wearable High-Density Diffuse Optical Tomography by Jianan Chen, Huixin Yang, Yunjia Xia, Tingchen Gong, Alexander Thomas, Jia Liu, Wei Chen, Tom Carlson, Hubin Zhao

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Identifying and analyzing drivers of innovative behavior based on strategic management of human resources in knowledge-based organizations by Mitra Sadoughi

“…The continuous improvement of organizational performance creates a huge synergy force that can support the growth and development plan, and create organizational excellence opportunities. …”
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Large language models-enabled digital twins for precision medicine in rare gynecological tumors by Jacqueline Lammert, Nicole Pfarr, Leonid Kuligin, Sonja Mathes, Tobias Dreyer, Luise Modersohn, Patrick Metzger, Dyke Ferber, Jakob Nikolas Kather, Daniel Truhn, Lisa Christine Adams, Keno Kyrill Bressem, Sebastian Lange, Kristina Schwamborn, Martin Boeker, Marion Kiechle, Ulrich A. Schatz, Holger Bronger, Maximilian Tschochohei

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Development of a GPT-4–Powered Virtual Simulated Patient and Communication Training Platform for Medical Students to Practice Discussing Abnormal Mammogram Results With Patients: M... by Dan Weisman, Alanna Sugarman, Yue Ming Huang, Lillian Gelberg, Patricia A Ganz, Warren Scott Comulada

“…Researchers are turning to artificial intelligence and large language models, such as generative pretrained transformers, to create communication training that incorporates virtual simulated patients (VSPs). …”
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Tachyon: Enhancing stacked models using Bayesian optimization for intrusion detection using different sampling approaches by T. Anitha Kumari, Sanket Mishra

“…An initial examination of the data reveals its unbalanced nature. To create a balanced dataset, a range of sampling techniques were used, including Oversampling, Undersampling, Synthetic Minority Oversampling Technique (SMOTE), Random Oversampling Examples (ROSE), Borderline Synthetic Minority Oversampling Technique (b-SMOTE), and Adaptive Synthetic (ADASYN). …”
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CERTAINTY FACTOR METHODS IN IDENTIFYING INTERESTS AND TALENTS OF ELEMENTARY SCHOOL CHILDREN AL IKHLAS TAQWA by Amanda Fitria, Said Iskandar Al Idrus, Asiah Asiah, Nita Suryani, Rinjani Cyra Nabila

“…The results of this study are the results of interest and talent analysis based on 7 intelligence criteria and also the highest summary results from several criteria with one of the tests yielding a percentage of 93.58% in the field of linguistics.…”
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Let’s Practice Better... on Cats: Description and Visualisation of Artistic Images in Generative AI Models by Ruslan Khandogin, Nina S. Proner

“…Artificial Intelligence (AI) plays an increasingly prominent role in various spheres of life in today’s world, including generation of a variety of visual content from selfie stream processing to creating works of digital art. …”
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Integration of MATH41 and Generative AI in Pre-Service Mathematics Teacher Education: An Empirical Study on Lesson Design Competency by Sejun Oh

“…Twenty-four participants learned to create parameterized math problems, generate vector graphics. …”
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Synergizing transformer-based models and financial sentiment analysis: A framework for generative AI in economic decision-making by Nouri Hicham, Nassera Habbat

“…This study introduces a new way to analyze financial sentiment by combining advanced transformer-based models with generative artificial intelligence (AI) to better understand the language and context of financial discussions. …”
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Full-scale simulator to test a control system of an engine-propeller powerplant of a convertible aerial vehicle by D. V. Vereshchikov, I. K. Makarov, I. S. Moiseeva, S. M. Barantsev

“…It is concluded that it is feasible to create and use an experimental base to justify the use of adaptive control algorithms for unmanned aerial copter-type vehicles with elements of artificial intelligence to ensure the required flying characteristics in a wide range of properties of control objects.…”
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Immersive Multiplayer VR: Unreal Engine’s Strengths, Limitations, and Future Prospects by Santiago Berrezueta-Guzman, Stefan Wagner

“…We propose future directions to address these issues, such as integrating artificial intelligence (AI), enhancing haptic feedback, and optimizing large-scale VR projects. …”
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