Incremental Pyraformer–Deep Canonical Correlation Analysis: A Novel Framework for Effective Fault Detection in Dynamic Nonlinear Processes by Yucheng Ding, Yingfeng Zhang, Jianfeng Huang, Shitong Peng

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Optimization of Offshore Saline Aquifer CO₂ Storage in Smeaheia Using Surrogate Reservoir Models by Behzad Amiri, Ashkan Jahanbani Ghahfarokhi, Vera Rocca, Cuthbert Shang Wui Ng

“…SRMs showed a runtime improvement of 300 times and an accuracy of 99% compared to the 3D numerical simulator. The genetic algorithm was then employed to determine the optimal rate and duration of CO₂ injection, which maximizes the volume of injected CO₂ while ensuring storage operations’ safety through constraints. …”
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Integrating Large Language Models and Optimization in Semi- Structured Decision Making: Methodology and a Case Study by Gianpaolo Ghiani, Gianluca Solazzo, Gianluca Elia

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<span style="font-variant: small-caps">EpiInfer</span>: A Non-Markovian Method and System to Forecast Infection Rates in Epidemics by Jovan Kascelan, Ruoxi Yang, Dennis Shasha

“…Our algorithm and system <span style="font-variant: small-caps;">EpiInfer</span> is a non-Markovian approach to forecasting infection rates. …”
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Anchor-Based Method for Inter-Domain Mobility Management in Software-Defined Networking by Akichy Adon Jean Rodrigue Kanda, Amanvon Ferdinand Atta, Zacrada Françoise Odile Trey, Michel Babri, Ahmed Dooguy Kora

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Machine Learning Models to Predict Google Stock Prices by Cosmina Elena Bucura, Paolo Giudici

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Optimizing Investment Portfolios with Bacterial Foraging and Robust Risk Management by Hubert Zarzycki

“…BFO, a nature-inspired algorithm, is employed to construct diversified portfolios, while risk management strategies, including stop-loss limits and transaction cost considerations, enhance risk control. …”
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Comparative Analysis of BERT and GPT for Classifying Crisis News with Sudan Conflict as an Example by Yahya Masri, Zifu Wang, Anusha Srirenganathan Malarvizhi, Samir Ahmed, Tayven Stover, David W. S. Wong, Yongyao Jiang, Yun Li, Qian Liu, Mathieu Bere, Daniel Rothbart, Dieter Pfoser, Chaowei Yang

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Partitioning Strategies for Parallel Computation of Flexible Skylines by Emilio De Lorenzis, Davide Martinenghi

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Monitoring and Analyzing Driver Physiological States Based on Automotive Electronic Identification and Multimodal Biometric Recognition Methods by Shengpei Zhou, Nanfeng Zhang, Qin Duan, Xiaosong Liu, Jinchao Xiao, Li Wang, Jingfeng Yang

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A Transfer Matrix Norm-Based Framework for Multimaterial Topology Optimization: Methodology and MATLAB Implementation by Giacomo Galuppini, Paolo Venini

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Quantum Computing and Machine Learning in Medical Decision-Making: A Comprehensive Review by James C. L. Chow

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The Diagnostic Classification of the Pathological Image Using Computer Vision by Yasunari Matsuzaka, Ryu Yashiro

“…By leveraging advanced algorithms and machine learning techniques, computer vision systems can analyze medical images with high precision, often matching or even surpassing human expert performance. …”
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A Closest Resemblance Classifier with Feature Interval Learning and Outranking Measures for Improved Performance by Nabil Belacel

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A PSO-Based Approach for the Optimal Allocation of Electric Vehicle Parking Lots to the Electricity Distribution Network by Marzieh Sadat Arabi, Anjali Awasthi

“…Using the particle swarm optimization (PSO) algorithm, the study maximizes total benefits, taking into account network parameters, vehicle data, and market prices. …”
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Adapted B-Spline Quasi-Interpolation for Approximating Piecewise Smooth Functions by David Levin, Nira Gruberger

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Navigating Stakeholders Perspectives on Artificial Intelligence in Higher Education by Aleida Chavarria, Ramon Palau, Raúl Santiago

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Balancing Safety and Comfort: A Novel Automatic Braking Control Method Using Seventh-Degree Polynomials by Fei Lai, Chaoqun Huang

“…Consequently, it significantly improves the braking comfort while ensuring collision avoidance; specifically, the braking deceleration changes smoothly rather than abruptly, greatly reducing the vehicle’s jerk value. …”
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Generation of Sparse Antennas and Scatterers Based on Optimal Current Grid Approximation by Tuan Phuong Dang, Manh Tuan Nguyen, Adnan F. Alhaj Hasan, Talgat R. Gazizov

“…The results show that the algorithm worked accurately and effectively in generating sparse scattering structures while reducing their mass and surface.…”
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Adaptive Noise Exploration for Neural Contextual Multi-Armed Bandits by Chi Wang, Lin Shi, Junru Luo

“…EAD injects adaptive noise into the reward signals based on arm selection frequency, while EAP adds adaptive noise to the hidden layer of the neural network for more stable exploration. …”
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