Recent Advancements in Localization Technologies for Wireless Capsule Endoscopy: A Technical Review by Muhammad A. Ali, Neil Tom, Fahad N. Alsunaydih, Mehmet R. Yuce

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Identification of Attack on Data Packets Using Rough Set Approach to Secure End to End Communication by Banghua Wu, Shah Nazir, Neelam Mukhtar

“…Different network devices are linked to route, compute, monitor, and communicate various real-time developments. …”
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Secure Satellite Downlink With Hybrid RIS and AI-Based Optimization by Mian Muhammad Kamal, Syed Zain Ul Abideen, Syed Sikandar Shah, Nabila Sehito, Salahuddin Khan, Bal S. Virdee, Mohammad Alibakhshikenari, Patrizia Livreri

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Maintenance Scheduling of Wind Units from the Power Plant Owner’s Perspective with the Objective of Minimizing Economic Loss by Amir Allame, Asghar Akbari Foroud

“…Following that, numerical computations are performed for an IEEE-RTS (Reliability Test System). …”
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Fully Vertical GaN-on-SiC p-i-n Diodes With BFOM of 2.89 GW/cm² by Jialun Li, Renqiang Zhu, Ka Ming Wong, Kei May Lau

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Prediction of flood peak-discharges in the Raman Watershed, North Raman, Central Lampung by Rossi Farli, Musa Sabariah, Mera Mas, Kastamto, Susarman, Februarman

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A novel deep synthesis-based insider intrusion detection (DS-IID) model for malicious insiders and AI-generated threats by Hazem M. Kotb, Tarek Gaber, Salem AlJanah, Hossam M. Zawbaa, Mohammed Alkhathami

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EMO-TS: An Enhanced Multi-Objective Optimization Algorithm for Energy-Efficient Task Scheduling in Cloud Data Centers by S. Nambi, P. Thanapal

“…These results underscore the algorithm’s potential to address cloud service providers’ economic and environmental concerns, offering a practical solution for green cloud computing initiatives. Furthermore, the integration of renewable energy sources within the EMO-TS framework shows potential for further reducing the carbon footprint of cloud operations, aligning with global sustainability goals.…”
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Features to Text: A Comprehensive Survey of Deep Learning on Semantic Segmentation and Image Captioning by Ariyo Oluwasammi, Muhammad Umar Aftab, Zhiguang Qin, Son Tung Ngo, Thang Van Doan, Son Ba Nguyen, Son Hoang Nguyen, Giang Hoang Nguyen

“…With the emergence of deep learning, computer vision has witnessed extensive advancement and has seen immense applications in multiple domains. …”
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Exploring the Potential Imaging Biomarkers for Parkinson’s Disease Using Machine Learning Approach by Illia Mushta, Sulev Koks, Anton Popov, Oleksandr Lysenko

“…Dopamine transporter scan (DATSCAN), based on single-photon emission computed tomography (SPECT), is commonly used to evaluate the loss of dopaminergic neurons in the striatum. …”
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Sparse Codebook Model of Local Structures for Retrieval of Focal Liver Lesions Using Multiphase Medical Images by Jian Wang, Xian-Hua Han, Yingying Xu, Lanfen Lin, Hongjie Hu, Chongwu Jin, Yen-Wei Chen

“…This study investigates an improved codebook model for the fined-grained medical image representation with the following three advantages: (1) instead of SIFT, we exploit the local patch (structure) as the local descriptor, which can retain all detailed information and is more suitable for the fine-grained medical image applications; (2) in order to more accurately approximate any local descriptor in coding procedure, the sparse coding method, instead of K-means algorithm, is employed for codebook learning and coded vector calculation; (3) we evaluate retrieval performance of focal liver lesions (FLL) using multiphase computed tomography (CT) scans, in which the proposed codebook model is separately learned for each phase. …”
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Estimation Model for Bread Quality Proficiency Using Fuzzy Weighted Relevance Vector Machine Classifier by Zainab N. Ali, Iman Askerzade, Saddam Abdulwahab

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Deep Learning for Traffic Scene Understanding: A Review by Parya Dolatyabi, Jacob Regan, Mahdi Khodayar

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Developing an Appropriate Digital Hearing Aid for Low-Resource Countries: A Case Study by P. Israsena, S. Isaradisaikul, A. Noymai, S. Boonyanukul, A. Hemakom, C. Chinnarat, N. Navacharoen, S. Lekagul

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BER performance analysis of polar-coded FBMC/OQAM in the presence of AWGN and Nakagami-m fading channel by Tadele A. Abose, Fanuel O. Ayana, Thomas O. Olwal, Yihenew W. Marye

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Visual Deepfake Detection: Review of Techniques, Tools, Limitations, and Future Prospects by Naveed Ur Rehman Ahmed, Afzal Badshah, Hanan Adeel, Ayesha Tajammul, Ali Daud, Tariq Alsahfi

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IRMAOC: an interpretable role mining algorithm based on overlapping clustering by Yaqi Yang, Jun’e Li, Tao Zhang, Lu Chen, Guirong Huang, Zhuo Lv

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Unfolder: fast localization and image rectification of a document with a crease from folding in half by A.M. Ershov, D.V. Tropin, E.E. Limonova, D.P. Nikolaev, V.V. Arlazarov

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Curiosity-Driven Camouflaged Object Segmentation by Mengyin Pang, Meijun Sun, Zheng Wang

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A Novel LTPS-TFT Pixel Circuit to Compensate the Electronic Degradation for Active-Matrix Organic Light-Emitting Diode Displays by Ching-Lin Fan, Fan-Ping Tseng, Hui-Lung Lai, Bo-Jhang Sun, Kuang-Chi Chao, Yi-Chiung Chen

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