Fine-tuned YOLO-based deep learning model for detecting malaria parasites and leukocytes in thick smear images: A Tanzanian case study by Beston Lufyagila, Bonny Mgawe, Anael Sam

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A Novel Energy-Aware Approach for Locating Leaks in Water Pipeline Using a Wireless Sensor Network and Noisy Pressure Sensor Data by Muhammad Mysorewala, Muhammad Sabih, Lahouari Cheded, Mohammad Tariq Nasir, Muhammad Ismail

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Secure healthcare data management using multimodal image fusion and dual watermarking by Harendra Singh, Maroti Deshmukh, Lalit Kumar Awasthi

“…It employs Laplacian redecomposition to fuse MRI and SPECT/PET images, creating a host image for embedding Aadhaar card image and a computed hash value. The embedding process integrates lifting wavelet transform, Hessenberg decomposition, and singular value decomposition to balance imperceptibility and robustness. …”
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CFD Investigation on the Thermal Comfort for an Office Room by Mazen M. Othayq

“…To be as reasonable as possible, the persons who occupy the office, lights, windows, tables, the door, and computers are accounted for in the CFD simulation. …”
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Leveraging Multi-Modality and Enhanced Temporal Networks for Robust Violence Detection by Gwangho Na, Jaepil Ko, Kyungjoo Cheoi

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Overcoming Class Imbalance in Incremental Learning Using an Elastic Weight Consolidation-Assisted Common Encoder Approach by Engin Baysal, Cüneyt Bayılmış

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Performance comparison and analysis of Linux block I/O schedulers on SSD by Abdullah Yildirim, Yunus Ozen

“…A computer system’s one of the slowest operation is disk seek operation. …”
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Exploring the Potential of Cloud Fertilization through Electromagnetic Wave Scattering Analysis by Seyed Hosein mousavi, Aslan Nouri Moqadam

“…Employing DDA and dyadic calculations, the exerted forces on individual spherical droplets are rigorously evaluated, with precise determination of force direction and components. …”
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Enhancing Building-Integrated Photovoltaic Power Forecasting with a Hybrid Conditional Generative Adversarial Network Framework by Dong Ha Choi, Wei Li, Albert Y. Zomaya

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Robots in Partially Known and Unknown Environments: A Simulated Annealing Approach for Re-Planning by Andrea Figueroa, María-Cristina Riff, Elizabeth Montero

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Bridging the Gap: An Algorithmic Framework for Vehicular Crowdsensing by Luis G. Jaimes, Craig White, Paniz Abedin

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Preparation and Characterization of Patuletin-Loaded Chitosan Nanoparticles with Improved Selectivity and Safety Profiles for Anticancer Applications by Ahmed M. Metwaly, Ahmed M. Abdel-Raoof, Abdulaziz M. Alattar, Adham A. El-Zomrawy, Ashraf M. Ashmawy, Metwally G. Metwally, Mohamed A. Abu-Saied, Asmaa M. Lotfy, Bshra A. Alsfouk, Eslam B. Elkaeed, Ibrahim H. Eissa

“…Methods. Computational studies were conducted to assess the affinity of PT for chitosan, confirming a promising interaction. …”
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Use of Artificial Intelligence in Ultrasound Diagnosis of Fetal Central Nervous System Anomalies Between 19 and 22 Weeks’ Gestation by A. V. Pomortsev, A. N. Redko, E. A. Barsukova, M. A. Matosyan, J. Yu. Dyachenko, R. A. Dyachenko, I. A. Beloglyadova, M. V. Yanaeva, V. T. Babayan

“…Standardization of radiologic and ultrasound scans of the studied area is a prerequisite for implementation of this computer system. It is important to create and apply AI in ultrasound diagnosis of fetal central nervous system (CNS) anomalies in order to improve the quality of differential diagnosis.Objective: To evaluate diagnostic accuracy of AI in detecting fetal CNS anomalies between 19 and 22 weeks’ gestation. …”
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Impact of Dataset Size on 3D CNN Performance in Intracranial Hemorrhage Classification by Chun-Chao Huang, Hsin-Fan Chiang, Cheng-Chih Hsieh, Bo-Rui Zhu, Wen-Jie Wu, Jin-Siang Shaw

“…Cross-validation was performed to compute the average area under the curve (AUC) over the last five iterations. …”
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Cost of Production for Processed Oranges in Southwest Florida in 2020/21 by Ariel Singerman

“…Typical users of these estimates include growers and consultants, who use them as a benchmark; property appraisers, who use them to compute the taxes for property owners; and researchers, who use the estimates to evaluate the economic feasibility of potential new technologies. …”
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Lane Detection Based on Connection of Various Feature Extraction Methods by Mingfa Li, Yuanyuan Li, Min Jiang

“…It has attracted the attention of the computer vision community for several decades. Essentially, lane detection is a multifeature detection problem that has become a real challenge for computer vision and machine learning techniques. …”
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Preserving privacy and video quality through remote physiological signal removal by Saksham Bhutani, Mohamed Elgendi, Carlo Menon

“…These rPPG methods require minimal computational resources, enabling real-time implementation on low-compute devices. …”
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Secure and Editable: A Blockchain Voting System Based on Chameleon Hash With Ephemeral Trapdoors by Qiankun Zheng, Junyao Ye, Peng Li, Junzuo Lai

“…Additionally, a modified Paillier cryptosystem and blind signature technology are used to ensure that any modifications leave no trace. We simulate and evaluate the system using Fabric 2.2, focusing on computational complexity and system stability. …”
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Total Tardiness Minimization in a Single-Machine with Periodical Resource Constraints by Bruno Prata, Levi Ribeiro de Abreu, Marcelo Seido Nagano

“…We performed extensive computational experimentation with a testbed composed by 450 proposed test problems. …”
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Cloud–Edge Collaborative Learning and Model Compression Framework for Communication-Assisted Human Action Recognition by Bo Gao, Quan Zhou

“…The growing demand for efficient human action recognition has led to significant advancements in applications such as surveillance, healthcare, and human–computer interaction. This paper uses the Widar3.0 dataset to evaluate the proposed a cloud–edge collaborative learning framework that incorporates model compression techniques, including knowledge distillation, pruning, and quantization, to optimize computational resource usage and improve recognition accuracy. …”
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