Machine Learning Models for Predicting Seismic Response of a Novel Two-Stage Friction Pendulum Isolated Bridge Structure by Hanzlah Akhlaq, Tianbo Peng, Kawsu Jitteh, Muhammad Salman Khan

“…Utilizing this extensive dataset, seven ML models were trained and evaluated using statistical key performance indicators (KPIs). …”
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Research of UAV 3D path planning based on improved Dwarf mongoose algorithm with multiple strategies by Lixin Mu, Wenhui Liu, Haocheng Wang, Yu Zhang

“…The generated flight paths are optimized in terms of both stability and efficiency, making the algorithm suitable for complex mission scenarios.…”
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An improved multiple adaptive neuro fuzzy inference system based on genetic algorithm for energy management system of island microgrid by Yanming Cheng, Jinqi Zhang, Mahmoud Al Shurafa, Dejun Liu, Yulian Zhao, Chao Ding, Jing Niu

“…Abstract Microgrid (MG) is basically composed of different distribution generators (DGs) connected in parallel for supplying a specific set of loads managed by an Energy management system (EMS). …”
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A New Heuristic Procedure for Quadratic Assignment Problems by Najla Al-Saati

“…Three different tests are carried out in this work including 26 randomly generated problems, each is represented by a distance and a volume flow matrix with different matrix dimensions, to be employed in the process of evaluating the efficiency of the improved heuristic procedure in terms of solution accuracy and processing time consumption. …”
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Study on College English Online Teaching Model in Mixed Context Based on Genetic Algorithm and Neural Network Algorithm by Xiaoxia Ma

“…Finally, according to different evaluation indexes, a systematic visualization scheme is designed to generate students’ classroom learning evaluation report and teachers' classroom teaching evaluation report, respectively, and visualize them on the web.…”
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Whole-body tumor segmentation from FDG-PET/CT: Leveraging a segmentation prior from tissue-wise projections by Sambit Tarai, Elin Lundström, Nouman Ahmad, Robin Strand, Håkan Ahlström, Joel Kullberg

“…Background:Accurate tumor detection and quantification are important for optimized therapy planning and evaluation. Total tumor burden is also an appealing biomarker for clinical trials. …”
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Study on Synergistic Effect of Directional Chemical Reaction⁃Assisted SAGD under Three⁃Dimensional Physical Simulationon by Tao LIN, Qiaobo WANG, Hongzhi SONG, Zhongtao YUAN, Tianliang LI

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A multi objective collaborative reinforcement learning algorithm for flexible job shop scheduling by Jian Li, Shifa Li, Pengbo He, Huankun Li

“…Using hypervolume, set coverage and inverted generational distance as evaluation metrics, the algorithm is compared with those proposed in other studies on standard instances. …”
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Image Super-Resolution via Adaptive Regularization Term of Compressed Sensing by Yintao Liu, Chao Ren, Hongjuan Shao, Qirui Liu, Yan Zhang

“…By generating a suitable coefficient, it can adaptively reconcile the relationship between sparsity and correlation. …”
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Polynomial Modeling of Noise Figure in Erbium-Doped Fiber Amplifiers by Rocco D’Ingillo, Alberto Castronovo, Stefano Straullu, Vittorio Curri

“…Accurate noise figure estimation is critical for optimizing link budgets, monitoring optical Signal-to-Noise Ratio (OSNR), and enabling real-time network optimization. …”
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Impact of surrogate model accuracy on performance and model management strategy in surrogate-assisted evolutionary algorithms by Yuki Hanawa, Tomohiro Harada, Yukiya Miura

“…To address these limitations, we construct a pseudo-surrogate model with adjustable prediction accuracy, enabling fair comparisons across different strategies. We evaluate three representative strategies — pre-selection (PS), individual-based (IB), and generation-based (GB) — using a common pseudo-surrogate model on six benchmark problems in 10 and 30 dimensions from the CEC2015 competition. …”
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Embedded feature selection using dual-network architecture by Abderrahim Abbassi, Arved Dörpinghaus, Niklas Römgens, Tanja Grießmann, Raimund Rolfes

“…Simultaneously, the selection model aims to minimize the cumulative value of the mask, thus selecting the most relevant features with minimal impact on the task model’s performance.The method is evaluated using benchmark and synthetic datasets across different supervised tasks. …”
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Deep learning models for detection of explosive ordnance using autonomous robotic systems: trade-off between accuracy and real-time processing speed by Vadym Mishchuk, Herman Fesenko, Vyacheslav Kharchenko

“…The main contribution of this study is the results of a detailed evaluation of the YOLOv8 and RT-DETR models for real-time EO detection, helping to find trade-offs between the speed and accuracy of each model and emphasizing the need for special datasets and algorithm optimization to improve the reliability of EO detection in autonomous systems.…”
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The Evolution of AI Applications in the Energy System Transition: A Bibliometric Analysis of Research Development, the Current State and Future Challenges by Daniel Icaza Alvarez, Fernando González-Ladrón-de-Guevara, Jorge Rojas Espinoza, David Borge-Diez, Santiago Pulla Galindo, Carlos Flores-Vázquez

“…Future lines of research could focus on energy demand forecasting, dynamic adjustments in energy distribution between different generation sources, energy storage, and usage optimization.…”
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Towards a Generalized Tidal Turbine Wake Analytical Model for Turbine Placement in Array Accounting for Added Turbulence by Kabir Bashir Shariff, Sylvain S. Guillou

“…The influence of added turbulence is factored into the evaluation of the velocity deficit within the farm. …”
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PictureGuard: Enhancing Software-Defined Networking–Internet of Things Security with Novel Image-Based Authentication and Artificial Intelligence-Powered Two-Stage Intrusion Detect... by Hazem (Moh’d Said) Hatamleh, As’ad Mahmoud As’ad Alnaser, Said S. Saloum, Ahmed Sharadqeh, Jawdat S. Alkasassbeh

“…Further, multi-controllers were placed optimally using fox optimization algorithm. The generated global paths were securely stored in the virtual blockchain Finally, the two agents in the multi-controllers were responsible for validating and classifying the incoming suspicious flow packets into normal and malicious packets by considering the operative metrics using the Dueling Deep Q Network (DDQN) algorithm. …”
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Differential effects of sole and phosphorus based nitrogen fertilizer sources on wheat growth and nutrient use efficiency by Hafiza Maria Asghar Alvi, Wazir Ahmed, Muhammad Yaseen, Subhan Danish, Nawaf Alshamamri, Safia Obaidur Rab, Rahul Datta

“…This study contributes to improving nitrogen management strategies for wheat in calcareous soils by evaluating different nitrate and ammonium ratios, offering insights for enhancing nitrogen use efficiency and yield optimization. …”
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Automated quantification of T1 and T2 relaxation times in liver mpMRI using deep learning: a sequence-adaptive approach by Lukas Zbinden, Samuel Erb, Damiano Catucci, Lars Doorenbos, Leona Hulbert, Annalisa Berzigotti, Michael Brönimann, Lukas Ebner, Andreas Christe, Verena Carola Obmann, Raphael Sznitman, Adrian Thomas Huber

“…Abstract Objectives To evaluate a deep learning sequence-adaptive liver multiparametric MRI (mpMRI) assessment with validation in different populations using total and segmental T1 and T2 relaxation time maps. …”
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Integrated transportation system planning with gravitational search algorithm approach based on fuzzy mutant controller by Alireza Hosseinzadeh Kashani, Seyed Ahmad Shayannia, Mohammad Mehdi Movahedi, Soheila Sardar

“…Based on the formula, this force is equal to the difference between the value of the evaluation function of the candidate response and the current response divided by the radius of the neighborhood to the square of two. …”
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Leveraging Artificial Intelligence for Personalized Rehabilitation Programs for Head and Neck Surgery Patients by Gianluca Marcaccini, Ishith Seth, Jennifer Novo, Vicki McClure, Brett Sacks, Kaiyang Lim, Sally Kiu-Huen Ng, Roberto Cuomo, Warren M. Rozen

“…This study evaluates the feasibility of using LLMs to generate tailored rehabilitation programs for patients undergoing major head and neck surgical procedures. …”
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