A Data Fusion System for Simulation of Critical Scenarios and Decision-Making by Jimmy Anderson Flórez Zuluaga, Esteban Patino Carrasco, Jose David Ortega Pabón, Kelly Gallego León, O. Lucía Quintero Montoya

“…This document describes the proposed architecture from a research process, developed by the FAC Aerospace Technology Development Center (CETAD), where using computational and expert system tools, allowed to create a computational environment for decision maker evaluated his options to prepares for real events, simulating characteristics, resources and strategies in a real time environment. …”
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Ensuring the Vibration Reliability of Rotors Connected by Spline Joints by Verbovyi A., Neamtu C., Sieryk, M., Vashyst B., Pavlenko V., Simonovskiy V., Pavlenko, I.

“…In addition, the developed mathematical model of free and forced vibrations of rotor systems have been implemented in the program code operational files “Critical Frequencies of the Rotor” and “Forced Oscillations of the Rotor” of the computer algebra system MathCAD that allows improving the dynamic balancing procedure for evaluating primary imbalances. …”
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Molecular Imaging of Experimental Abdominal Aortic Aneurysms by Aneesh K. Ramaswamy, Mark Hamilton, Rucha V. Joshi, Benjamin P. Kline, Rui Li, Pu Wang, Craig J. Goergen

“…Beyond the typical modalities used for anatomical imaging, which include ultrasound (US) and computed tomography (CT), previous molecular imaging efforts have used magnetic resonance (MR), near-infrared fluorescence (NIRF), bioluminescence, single-photon emission computed tomography (SPECT), and positron emission tomography (PET). …”
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Estimating electricity consumption at city-level through advanced machine learning methods by Arpad Gellert, Lorena-Maria Olaru, Adrian Florea, Ileana-Ioana Cofaru, Ugo Fiore, Francesco Palmieri

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Degeneration of Character, Aesthetics of Origin, and Augmented Absence in Posthuman Cinema by Savaş Keskin

“…This article attempts to perform a sociological, anthropological, and especially philosophical analysis, critique, and constructive aesthetics of the artificial intelligence-assisted performer/character that has emerged in the cinematic universe of the post-human age or post-anthropocene, often referred to as posthumanism. Computers, which have evolved from merely assisting humans to becoming ‘social performers,’ are recontextualized in this article as ‘cinematic performers’ thanks to their artificial intelligence, and are evaluated solely based on their structural presence. …”
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RaNet: a residual attention network for accurate prostate segmentation in T2-weighted MRI by Muhammad Arshad, Chengliang Wang, Muhammad Wajeeh Us Sima, Jamshed Ali Shaikh, Salem Alkhalaf, Fahad Alturise

“…With a balance of segmentation accuracy and computational efficiency, RaNet is well suited for real-time clinical use, offering a powerful tool for precise delineation and enhanced prostate diagnostics.…”
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AutoTA: A Dynamic Intent-Based Virtual Teaching Assistant for Students Using Open Source LLMs by Rajashree Dahal, Greg Murray, Robin Chataut, Mohamed Hefeida, Anurag K. Srivastava, Prashnna K. Gyawali

“…Additionally, we incorporate a custom vector-space filter that refines responses based on filename tracking after intent identification. To evaluate the framework, we used course materials from the undergraduate-level CS course, Computer Incident Response, and compared the performance of several open-source LLMs, including Llama 3.1. …”
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Remote Assistance for Bone-Fractured Patients using Deep Learning Models by Nallakaruppan Kailasanathan, Sivaramakrishnan Somayaji, Mohamed Baza, Gautam Srivastava, SenthilKumaran Ulaganathan, Gokul Yenduri, Vaishali Ravindranath, Maazen Alsabaan

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A scalable reinforcement learning framework inspired by hippocampal memory mechanisms for efficient contextual and sequential decision making by Hamed Poursiami, Ayana Moshruba, Keiland W. Cooper, Derek Gobin, Md Abdullah-Al Kaiser, Ankur Singh, Rouhan Noor, Babak Shahbaba, Akhilesh Jaiswal, Norbert J. Fortin, Maryam Parsa

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Effect of Different Impression Techniques on Marginal Fit of Restoration – An In Vitro Study by Priyanka S. Raghav, S Abirami, Abhinav Gupta, Faiz Noor Khan Yusufi, Shaista Afroz

“…Various combinations of material and the technique have been described in the literature. Aim: To evaluate the effect of three different impression techniques on the marginal fit of computer-aided designed/computer-aided manufactured (CAD/CAM) single unit composite fixed dental prostheses (FDP), different consistencies of addition silicone impression material and different tray design were utilized. …”
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Comparison of Optimisation Techniques for the Electric Vehicle Scheduling Problem by Jacques Wüst, Marthinus Johannes Booysen, James Bekker

“…This study presents a comprehensive comparison of several optimisation techniques (mixed integer linear programming (MILP) using the branch-and-cut algorithm, metaheuristics, and heuristics) applied to the E-VSP under identical assumptions and constraints. The techniques are evaluated across multiple metrics, including solution quality, computational efficiency, and implementation complexity. …”
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A novel metaheuristic optimizer GPSed via artificial intelligence for reliable economic dispatch by Mahmoud Ibrahim Mohamed, Ali M. Yousef, Ahmed A. Hafez

“…It consistently converges to the global optimum solution, achieving the minimum energy cost of the system under concern while requiring the fewest iterations and minimal computational requirements.…”
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Virtual and Augmented Reality Applications in Landscape Design and Project Presentation Techniques by Orhun Soydan, Ahmet Benliay

“…In order to evaluate these visual sets, interviews were made with 10 landscape architects who are experts in the subject. …”
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Union Rate on Hinge Side after Open-Door Laminoplasty Using Maxillofacial Titanium Miniplate by Koopong Siribumrungwong, Theerasan Kiriratnikom, Boonsin Tangtrakulwanich

“…We performed open-door laminoplasty in 68 levels of fourteen patients using maxillofacial titanium miniplates. Axial computed tomography scans were obtained at 6 months postoperatively to evaluate the union rates of the hinge side. …”
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Comparative Study of Person Re-Identification Techniques Based on Deep Learning Models by Mossaab Idrissi Alami, Abderrahmane Ez-zahout, Fouzia Omary

“…Future research should focus on optimizing model efficiency, reducing computational costs, and extending evaluations to real-time scenarios.…”
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AIME-solve: Accessible interactive mathematical expressions solver for optimized learning and visual empowerment by Amjad Ali, Shah Khusro, Fakhre Alam, Inayat Khan, Shabbab Ali Algamdi

“…The proposed solution was empirically evaluated with 27 students and 5 instructors with visual disabilities in educational settings. …”
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Method for calculating porosity in tight sandstone reservoir thin sections based on ICSO intelligent algorithm by Tao Liu, Zongbao Liu, Kejia Zhang, Feng Tian, Yan Zhang, Ruixue Zhang, Cuiyun Xu, Fang Liu, Xiaowen Liu, Haoran Wang, Mengning Mu

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Coupling Strategies Investigation of Hybrid Atomistic-Continuum Method Based on State Variable Coupling by Qian Wang, Xiao-Guang Ren, Xin-Hai Xu, Chao Li, Hong-Yu Ji, Xue-Jun Yang

“…We first propose a hybrid molecular dynamics- (MD-) continuum solver in LAMMPS and OpenFOAM that exchanges state variables between the atomistic region and the continuum region and evaluate different configurations of coupling strategies using the sudden start Couette flow, aiming to find the preferable configuration that delivers better accuracy and efficiency. …”
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Leveraging advanced feature extraction for improved kidney biopsy segmentation by Muhammad Wajeeh Us Sima, Chengliang Wang, Muhammad Arshad, Jamshed Ali Shaikh, Salem Alkhalaf, Fahad Alturise

“…While the Segment Anything Model (SAM) excels in natural image segmentation, its direct application to medical imaging underperforms due to (1) insufficient preservation of fine-grained anatomical details, (2) computational inefficiency on gigapixel whole-slide images (WSIs), and (3) poor adaptation to domain-specific features like staining variability and sparse annotations. …”
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EmoNet: Deep Attentional Recurrent CNN for X (Formerly Twitter) Emotion Classification by Md. Shakil Hossain, Md. Mithun Hossain, Md. Shakhawat Hossain, M. F. Mridha, Mejdl Safran, Sultan Alfarhood

“…We employ K-fold cross-validation to rigorously evaluate EmoNet against baseline models, including RoBERTa, BERT, and DistilBERT. …”
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