Revisiting the approaches to DNA damage detection in genetic toxicology: insights and regulatory implications by Sulaiman Mohammed Alnasser

“…Abstract Genetic toxicology is crucial for evaluating the potential risks of chemicals and drugs to human health and the environment. …”
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REDalign: accurate RNA structural alignment using residual encoder-decoder network by Chun-Chi Chen, Yi-Ming Chan, Hyundoo Jeong

“…Extensive evaluations demonstrate that REDalign provides superior accuracy and substantial computational efficiency. …”
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Finger Knuckle Print classification: Leveraging vision Mamba for low complexity and high accuracy by Chiron Bang, Ali Salem Altaher, Ahmed Altaher, Hawraa Moamin, Thamer Alshammari, Basmh Alkanjr, Hasan Altaher, Mohammed G. Al-Jassani, Hanqi Zhuang

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Equalization-Enhanced Phase Noise in Stokes-Vector Direct Detection Systems by Meng Qiu, Qunbi Zhuge, Mohammed Y. S. Sowailem, Thang M. Hoang, Mathieu Chagnon, Meng Xiang, Xingyu Zhou, Fangyuan Zhang, David V. Plant

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Efficient crowd simulation in complex environment using deep reinforcement learning by Yihao Li, Yuting Chen, Junyu Liu, Tianyu Huang

“…This method gives agents global prior knowledge of the high complexity of their environment, allowing them to achieve impressive motion navigation results in complex scenarios without the need to repeatedly compute global path information. Additionally, we propose a novel parameterized method for constructing crowd simulation environments and evaluating simulation performance. …”
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Deep Transfer Learning for Lip Reading Based on NASNetMobile Pretrained Model in Wild Dataset by Ashwaq Waleed Abdul Ameer, Pedram Salehpour, Mohammad Asadpour

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Hand Gesture Recognition on Edge Devices: Sensor Technologies, Algorithms, and Processing Hardware by Elfi Fertl, Encarnación Castillo, Georg Stettinger, Manuel P. Cuéllar, Diego P. Morales

“…Hand gesture recognition (HGR) is a convenient and natural form of human–computer interaction. It is suitable for various applications. …”
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PPI-GA: A Novel Clustering Algorithm to Identify Protein Complexes within Protein-Protein Interaction Networks Using Genetic Algorithm by Naeem Shirmohammady, Habib Izadkhah, Ayaz Isazadeh

“…The proposed algorithm is evaluated on two gold standard and real-world datasets. …”
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An Probability-Based Energy Model on Cache Coherence Protocol with Mobile Sensor Network by Jihe Wang, Bing Guo, Meikang Qiu

“…Mobile sensor networks (MSNs) are widely used in various domains to monitor, record, compute, and interact the information within an environment. …”
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A novel unified Inception-U-Net hybrid gravitational optimization model (UIGO) incorporating automated medical image segmentation and feature selection for liver tumor detection by Tathagat Banerjee, Davinder Paul Singh, Pawandeep Kour, Debabrata Swain, Shubham Mahajan, Seifedine Kadry, Jungeun Kim

“…UIGO demonstrated higher performance than other contemporary liver tumor segmentation techniques, indicating the system’s ability to enhance clinician’s ability to deliver precise and prompt evaluations at a lower computational expense. This study underscores the effort towards advanced streamlined, dependable, and clinically useful devices for liver tumor segmentation in medical imaging.…”
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Direction Finding Using a Four-Ray Street Canyon Propagation Model in Presence of Periodic Lamp-Posts for Use in Microcellular Wireless Communication and Angular Estimation by Sarah Poormohammad, Forouhar Farzaneh

“…The channel angular spread is computed and through Monte-Carlo simulations the mean and the standard deviation of the angular spread are computed both azimuth and the elevation domains. …”
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On QSPR analysis of pulmonary cancer drugs using python-driven topological modeling by Huiling Qin, Mazhar Hussain, Muhammad Farhan Hanif, Muhammad Kamran Siddiqui, Zahid Hussain, Mohamed Abubakar Fiidow

“…The integration of computational and mathematical chemistry will make it easier to evaluate drugs because it can assure consistent data for preclinical development. …”
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Reprogramming Heritage: An Approach for the Automatization in the Adaptative Reuse of Buildings by Marta Domènech-Rodríguez, David López López, Sergi Nadal, Anna Queralt, Còssima Cornadó

“…This article introduces a methodology for a novel data-driven computational model aimed at aiding public administrations in managing and evaluating the adaptative reuse of buildings while tackling ecological and digital challenges. …”
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Multi-Step Quality-Oriented Training for Cross-Dataset Offline Iterative Speech Enhancement by Shih-Chuan Chu, Chung-Hsien Wu

“…Consequently, evaluating model performance across diverse datasets has become essential. …”
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Efficient adaptation of deep neural networks for semantic segmentation in space applications by Leonardo Olivi, Edoardo Santero Mormile, Enzo Tartaglione

“…In this study, we considered two memory-saving strategies: layer fusion (to reduce to zero the inference overhead) and an “adapter ranking” (to also reduce the transmission cost). Finally, we evaluate these results in terms of task performance, memory, and computation on embedded devices, evidencing trade-offs that open the road to more research in the field. …”
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Enhancing Road Drainage Systems for Extreme Storms: Integration of a High-Precision Flow Diversion Module into SWMM Code by Yuting Ren, Zhiyu Shao, Qi Zhang, Wang Feng, Lei Xu, Huafeng Gong, Scott Yost, Lei Chen, Hongxiang Chai

“…The two-dimensional and three-dimensional hydraulic models are overly complex and computationally intensive and thus not particularly efficient. …”
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An Antenna Array Sidelobe Level Reduction Approach through Invasive Weed Optimization by Geng Sun, Yanheng Liu, Han Li, Shuang Liang, Aimin Wang, Boyu Li

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Edge to Cloud Task Offloading Optimization in Internet of Vehicles Networks by Nemčík Ján, Šoltés Lukáš, Marek Galinski, Ivan Kotuliak

“…We evaluated network parameters such as latency and task processing between autonomous vehicles and edge servers. …”
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Image Processing Techniques for Assessing Contractility in Isolated Neonatal Cardiac Myocytes by Carlos Bazan, David Torres Barba, Peter Blomgren, Paul Paolini

“…We describe a computational framework for the quantitative assessment of contractile responses of isolated neonatal cardiac myocytes. …”
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Large Eddy Simulation of a Bluff Body Stabilized Lean Premixed Flame by A. Andreini, C. Bianchini, A. Innocenti

“…A comparison between LES and RANS modeling approach is performed in order to discuss modeling requirements, possible gains, and computational overloads associated with the former. Such comparison comprehends a sensitivity study to mesh refinement and combustion model characteristic constants, computational costs, and robustness of the approach. …”
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