Application of the Turbulent Potential Model to Unsteady Flows and Three-Dimensional Boundary Layers by J. Blair Perot, Sasanka Are, Xing Zhang

“…The ability of the turbulent potential model to predict nonequilibrium turbulent flows accurately is evaluated in this work. The flow in a spanwise-driven channel flow and over a swept bump are used to evaluate the turbulent potential model's ability to predict complex three-dimensional boundary layers. …”
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Medical imaging technologies applied to the COVID-19 context by Yago Viana Pinto, Rodrigo Modesto Gadelha Gontijo, Andréa Vidal Ferreira

“…Since the outbreak of COVID-19 disease, imaging methods such as X-Ray and Computed Tomography have stood out as feasible tools for diagnosing and evaluating the disease, especially regarding its lung occurrence in symptomatic patients. …”
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Third-order correction to top-quark pair production near threshold. Part I. Effective theory set-up and matching coefficients by M. Beneke, Y. Kiyo, K. Schuller

“…It summarizes matching coefficients and potentials relevant to the next-to-next-to-next-to-leading order and ends with the master formula for the computation of the third-order Green function. The master formula is evaluated in part II of the series.…”
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Analysis and modeling of digital solutions in medical database management by Rakhimov Bakhtiyar, Rakhimova Feruza, Saidov Atabek, Saidova Zarina

“…This paper explores the integration of computer vision techniques within medical database management systems, focusing on their potential to enhance data accuracy and operational efficiency in healthcare. …”
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ON THE SECURITY OF GENERALIZED MULTILINEAR MAPS BASED ON WEIL PAIRING by Annisa Dini Handayani, Indah Emilia Wijayanti, Uha Isnaini, Prastudy Fauzi

“…We also show that the computation to obtain a shared key is inefficient because it requires a lot of computation and time.…”
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AMSunda: A novel dataset for Sundanese information retrievalzenodo by Aries Maesya, Yulyani Arifin, Amalia Zahra, Widodo Budiharto

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Needle detection and localisation for robot‐assisted subretinal injection using deep learning by Mingchuan Zhou, Xiangyu Guo, Matthias Grimm, Elias Lochner, Zhongliang Jiang, Abouzar Eslami, Juan Ye, Nassir Navab, Alois Knoll, Mohammad Ali Nasseri

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Process Monitoring and Control in Dermatological Diagnosis: A Deep Learning Approach Using Python, NumPy, Pandas, Keras, and TensorFlow by Neelamadhab Padhy, T. Bhubaneswari, Sushree Sangita Das, Meetali Sinha

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Artificial intelligence model for the assessment of unstained live sperm morphology by Jermphiphut Jaruenpunyasak, Prawai Maneelert, Marwan Nawae, Chainarong Choksuchat

“…Semen samples were divided into three aliquots and assessed for unstained live sperm morphology using the AI model, whereas computer-aided and conventional semen analysis methods evaluated fixed sperm morphology. …”
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A New MDL-based Clustering Algorithm by Zdravko Markov

“…The performance of the algorithm is evaluated on benchmark datasets. …”
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Benchmarking the Non-Paraxial Beam Propagation Method for Deep-Tissue Microscopy by Praveen Kalarickel Ramakrishnan, Qi Hu, Peter R. T. Munro

“…This study evaluates the accuracy and computational efficiency of the Beam Propagation Method (BPM) for modeling light propagation in microscopy of biological tissue. …”
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Sound-Induced Round Window Vibration—Experiment and Numerical Simulations of Energy Transfer Through the Cochlea of the Human Ear by Robert Zablotni, Sylwester Tudruj, Jaroslaw Latalski, Marcin Szymanski, Andrzej Kucharski, Grzegorz Zając, Rafał Rusinek

“…The performed computations showed that signal amplification is particularly noticeable in the frequency range from 1 to 2 kHz. …”
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Effective preprocessing techniques for improved facial recognition under variable conditions by Afolabi I. Awodeyi, Omolegho A. Ibok, Idama Omokaro, Jones U. Ekwemuka, Michael O. Ighofiomoni

“…A detailed comparative analysis demonstrates significant recognition rate improvements under low-light and occluded scenarios, supported by quantitative evidence. Additionally, computational efficiency is evaluated, highlighting the applicability of these methods for large-scale and real-time systems. …”
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Effect of Whole-body [18F]Fluoro-2-deoxy-2-d-glucose Positron Emission Tomography in Patients with Suspected Brain Metastasis by Manish Ora, Neetu Soni, Aftab Hasan Nazar, Anant Mehrotra, Prabhakar Mishra, Sanjay Gambhir

“…We have evaluated the effect of whole-body FDG PET/CT in assessing the patients presented with suspected brain metastasis (CUP-BM) on brain magnetic resonance imaging (MRI) or computed tomography (CT).…”
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Robot-Assisted Lung Biopsy: A Safer Approach to Lung Lesions by Shadab Maqsood, Tahir Ahmad Khan, Manzoor Hussain, Mudasir Bhat, Tahleel Altaf Shera, Tariq Ahmad Gojwari, Feroze A. Shaheen

“… Purpose This article evaluates the feasibility, safety, and technical success of robot-assisted computed tomography (CT)-guided percutaneous lung biopsy.…”
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A new iterative multi-step method for solving nonlinear equation by Muhammad Usman, Javed Iqbal, Alamgir Khan, Ikram Ullah, Hasib Khan, Jehad Alzabut, Hisham Mohammad Alkhawar

“…The newly developed algorithm achieves an impressive convergence order of sixteen, utilizing only five functional evaluations per iteration. By incorporating appropriate finite difference approximations, the method avoids the need for second derivatives, enhancing its computational efficiency and broad applicability. …”
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Hierarchical Federated Learning-Based Intrusion Detection for In-Vehicle Networks by Muzun Althunayyan, Amir Javed, Omer Rana, Theodoros Spyridopoulos

“…To address these limitations, this paper proposes a Hierarchical Federated Learning (H-FL) framework to deploy and evaluate the performance of the IDS. The H-FL framework incorporates multiple edge aggregators alongside the central aggregator, mitigating single-point failure risks, improving scalability, and efficiently distributing computational load. …”
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Knowledge concept recognition in the learning brain via fMRI classification by Wenxin Zhang, Wenxin Zhang, Yiping Zhang, Liqian Sun, Yupei Zhang, Yupei Zhang, Xuequn Shang, Xuequn Shang

“…Experiments are conducted on a public dataset collected from 25 students and teachers in a computer science course. The evaluations of classifying fMRI segments show that the used classifiers all can attain a good performance when using the time-difference representation, where the CNN-LSTM model reaches the highest accuracy. …”
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OPTIMIZING THE PROCESS OF PICK-UP AND DELIVERY WITH TIME WINDOWS USING ANT COLONY AND TABU SEARCH ALGORITHMS by Imas Saumi Amalia, Toni Bakhtiar, Jaharuddin Jaharuddin

“…This study aims to develop a (meta)heuristic based on Ant Colony Optimization (ACO) and Tabu Search (TS) to be ACOTS to solve TSPPDHTW with reasonable computation time. The development is carried out by adding functions of clustering, evaluating constraints, cutting tours, arranging of goods, and evaluating moves on the TS, as well as modifying transition rules. …”
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Strategies for multi-case physics-informed neural networks for tube flows: a study using 2D flow scenarios by Hong Shen Wong, Wei Xuan Chan, Bing Huan Li, Choon Hwai Yap

“…Abstract Fluid dynamics computations for tube-like geometries are crucial in biomedical evaluations of vascular and airways fluid dynamics. …”
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