Advanced Text Summarization Model Incorporating NLP Techniques and Feature-Based Scoring by Estabraq Abdulreda Kadhim, Mohammad-Reza Feizi-Derakhshi, Hadi S. Aghdasi

“…This study’s summarization algorithm was tested using the CNN, XSum and BBC Summarization datasets, which aggregate documents from different areas. …”
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An Iterative Adaptive Polarization Calibration Method Independent of Corner Reflectors by Bowen Chi, Jixian Zhang, Guoman Huang, Lijun Lu, Shucheng Yang

“…However, the deployment of CRs is costly and impractical in challenging areas, and therefore, advanced PolCal methods that do not rely on CRs have been developed. …”
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Multi-strategy enhanced artificial rabbits optimization for prediction of grades in tourism service communication courses by Xiaodan Qu, Zhuyin Jia

“…Finally, a Dynamic Changing Step Length Development strategy is incorporated to enhance the randomness and development capability. …”
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A Bio-Optimization Approach for Renewable Energy Management: The Case of a University Building in a Tropical Climate by Orlando Aguilar Pinzón, Orlando Aguilar Gallardo, Miguel Chen Austin

“…Additionally, PSO was used to optimize the discharge management of the battery bank, independently demonstrating a 2% efficiency improvement when incorporated into the original pre-optimization system. …”
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Block Markov superposition transmission of LDPC codes by Qianfan Wang, Kongjing Guo, Xiao Ma

“…A distinguished advantage of the proposed coded transmission over spatially coupled LDPC (SC-LDPC) codes is that the encoder/decoder of the proposed codes can be designed by reusing the encoder/decoder architecture of component block LDPC codes. …”
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Spatiotemporal tensor analysis for effective information mining of hydraulic structures considering environmental excitation and vibration response by Hui Li, Zhang Han, Tengfei Bao, Xiaohan Duan, Guang Yang, Xianyu Xiong, Yibo Ouyang, Jiankang Lou

“…Abstract The vibration response data is a key foundation of vibration-based hydraulic structures’ online damage diagnosis. …”
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Clinical Utility of Bladder Cancer Biomarkers by Laura Maria Krabbe, Georgios Gakis, Yair Lotan

“…Yet, many areas of bladder cancer diagnosis and treatment have remained unchanged for decades, and this is only in part due to their therapeutic success. …”
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Asymptotic Analysis of Shearlet Transfom for Inpainting by Süleyman Çetinkaya, Cüneyt Yazıcı, Hülya Kodal Sevindir

“…Supply of missing data, also known as inpainting, is an important application of image processing.Wavelets are commonly used for inpainting algorithms. …”
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Removal of fog from hazy images and their restoration by Vidya Nitin More, Vibha Vyas

“…The present research work is based on the Dark Channel Prior (DCP) method. The DCP method needs to find the transmission map, which gives the strength of the fog in the image. …”
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An Empirical Taxonomy of Video Summarization Model From a Statistical Perspective by Sai Babu Veesam, Aravapalli Rama Satish

“…Performance of such techniques benchmarks against datasets like SumMe, TVSum, and other custom datasets and has shown considerable improvement in precision, recall, and F1-scores. …”
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Characterising Eye Movement Events With an Unsupervised Hidden Markov Model by Malte Lüken, Šimon Kucharský, Ingmar Visser

“…Previousalgorithms have successfully used hidden Markov models (HMMs) for classification but canstill be improved in several aspects. To address these aspects, we developedgazeHMM, analgorithm that uses an HMM as a generative model, has no critical parameters to be set byusers, and does not require human coded data as input. …”
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AI-Powered Platforms for Interactive Nutrition Education Based on WHO (World Health Organization) Guidelines – An Overview by Taiwo Folake Ojo, Oluwaseyi Abiodun Akpor, Yetunde Justinah Talabi, Adeniran Sunday Afolalu

“…To show how these AI-driven platforms can encourage adherence to evidence-based guidelines for balanced diets, appropriate nutrient intake, and the prevention of diet-related non-communicable diseases, the report explores the critical alignment of these platforms with specific WHO dietary recommendations. …”
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Cold receptor TRPM8 as a target for migraine-associated pain and affective comorbidities by David Cabañero, Edward P. Carter, Rafael González-Cano, Enrique J. Cobos, Asia Fernández-Carvajal, Antonio Ferrer-Montiel

“…In a nitroglycerin-induced migraine model, Trpm8 knockout mice of both sexes developed anxiety and mechanical hypersensitivity, whereas wild-type females also displayed depressive-like phenotype and hypernociception. …”
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Cost-Effective Multitask Active Learning in Wearable Sensor Systems by Asiful Arefeen, Hassan Ghasemzadeh

“…However, these strategies have not been studied in mobile health settings and wearable systems to date. While strategies like one-sided sampling, alternating sampling, and rank-combination-based sampling have been proposed in the past, their applicability in mobile sensor settings—a domain constrained by label deficit—remains largely unexplored. …”
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Comparison of Machine Learning Methods for Predicting Electrical Energy Consumption by Retno Wahyusari, Sunardi Sunardi, Abdul Fadlil

“…Decision tree-based algorithms like RF and CatBoost are less sensitive to data normalization. …”
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Bayesian Architecture for Predictive Monitoring of Unbalance Faults in a Turbine Rotor–Bearing System by Banalata Bera, Shyh-Chin Huang, Po Ting Lin, Yu-Jen Chiu, Jin-Wei Liang

“…A novel dual-MCMC loops explore and assess the parameter space, resulting in more accurate and reliable bearing parameter estimations. …”
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Ensemble machine learning for predicting academic performance in STEM education by Aklilu Mandefro Messele

“…We gathered secondary data from the University of Gondar, Addis Ababa University, and Bahir Dar University, employing techniques such as Random Forest, CatBoost, Extreme Gradient Boosting, Gradient Boosting, Decision Trees, Logistic Regression, and Support Vector Machines. …”
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Toward Energy Efficiency and Fairness in UAV-Based Task Offloading by Mohamed El-Emary, Ali Ranjha, Diala Naboulsi, Razvan Stanica

“…While Mobile Edge Computing (MEC) enables task offloading to nearby servers, deploying fixed MEC infrastructure is often impractical in settings like disaster zones or temporary high-density events. …”
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Multimodal Fusion and Cutting-Edge AI-Based Smart Vending Machines for Electronic Component Management by M. Karthiga, Syarifah Bahiyah Rahayu, E. Suganya, S. Sankarananth, S. Sountharrajan, K. Venkatesan

“…Furthermore, the vending machine’s digital twin accurately simulates its real-world performance for virtual testing and improvement prior to real deployment, offering increased effectiveness and convenience.…”
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A new neurodynamic model with Adam optimization method for solving generalized eigenvalue problem by Ebrahim Ganjalipour, Khadijeh Nemati, Amir Hosein Refahi Sheikhani, Hashem Saberi Najafi

“…The experiments demonstrate that our algorithm using Adam optimizer, in comparison with other stochastic optimization methods like gradient descent works well in practice and improves complexity and accuracy of convergence.…”
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