A comprehensive dataset of rice leaf images for disease detection using machine learningMendeley Data by Afif Hasan, Tanvir Almas Layes, Arafat Sahin Afridi, Shakhawath Hossain Rifat, Fernaz Narin Nur, Nazmun Nessa Moon

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YOLOv8 vs RetinaNet vs EfficientDet: A Comparative Analysis for Modern Object Detection by Sana Fatima, Najmi Ghani Haider, Rizwan Riaz

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Classical Data in Quantum Machine Learning Algorithms: Amplitude Encoding and the Relation Between Entropy and Linguistic Ambiguity by Jurek Eisinger, Ward Gauderis, Lin de Huybrecht, Geraint A. Wiggins

“…First, the findings suggest that in quantum natural language processing, amplitude-encoding data onto a quantum computer can be a useful tool to improve the performance of the quantum machine learning models used. …”
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Image enhancement for detection of underwater moulted crabs in greenhouse soft-shell crab farming using deep learning by Mohammad Affaiq Bin Aini, Siow Hoo Leong, Yueh Tiam Yong, Beng Yong Lee, Xiaomin Zhao, Sharifah Raina Manaf, Firdaus Abdullah, Heng Yen Khong

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A Silicon Photonic PAM-4 Modulator Based on Dual-Parallel Mach–Zehnder Interferometers by Alireza Samani, Venkat Veerasubramanian, Eslam El-Fiky, David Patel, David V. Plant

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Low-Complexity and Adaptive Nonlinearity Estimation Module Based on Godard's Error by Lin Jiang, Lianshan Yan, Zhiyu Chen, Anlin Yi, Yan Pan, Wei Pan, Bin Luo

“…A low-complexity and adaptive nonlinearity estimation module is proposed and experimentally demonstrated based on Godard&#x0027;s error and low-pass filter (LPF). The computational complexity of the proposed adaptive estimation module is significantly reduced by avoiding utilizing the polarization demultiplexing, frequency offset compensation, and carrier phase recovery in the process of finding the optimal value <inline-formula> <tex-math notation="LaTeX">$\gamma\xi_{\mathrm{opt}}$</tex-math></inline-formula> compared with the previous approach based on phase noise variance. …”
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Implementation of Re-Simulation-Based Integrated Analysis System to Evaluate and Improve Autonomous Driving Algorithms by Soobin Jeon, Junehong Park, Dongmahn Seo

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The effect of resizing on the natural appearance of scintigraphic images: an image similarity analysis by Siraj Ghassel, Amir Jabbarpour, Jochen Lang, Eric Moulton, Eric Moulton, Ran Klein, Ran Klein, Ran Klein, Ran Klein

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Extended VGG16 Deep-Learning Detects COVID-19 from Chest CT Images by abolfazl karimiyan abdar, seyyed mostafa sadjadi, ali bashirgonbadi, mehran naghibi, Hamid Soltanian-Zadeh

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High-performance sentiment classification of product reviews using GPU(parallel)-optimized ensembled methods by Annaluri Sreenivasa Rao, Yeruva Jaipal Reddy, Guggilam Navya, Neelima Gurrapu, Jala Jeevan, M. Sridhar, Desidi Narasimha Reddy, Siva Kumar Pathuri, Dama Anand

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A new Hybrid Metaheuristic Model for Image Edge Detection by Adil Khalil, Adel Abed Al Wahaab, Ahmed Abbas

“…Image edge detection is a vital process in various applications, such as medical image analysis, computer vision, and security systems. …”
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MDRN: Multi-distillation residual network for efficient MR image super-resolution by Liwei Deng, Jingyi Chen, Xin Yang, Sijuan Huang

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A VAN-Based Multi-Scale Cross-Attention Mechanism for Skin Lesion Segmentation Network by Shuang Liu, Zeng Zhuang, Yanfeng Zheng, Simon Kolmanic

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Design of a multistage anti-jam GPS receiver by DI Min-min, ZHANG Er-yang

“…Since the anti-jam capability of joint space-time processing used in GPS depended on the number of antenna elements, a multistage anti-jam GPS receiver was proposed. …”
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Graph Neural Networks for Digital Pathology by Vincenzo DELLA MEA, Hafsa AKEBLI, Kevin ROITERO

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Performance-Oriented and Sustainability-Oriented Design of an Effective Android Malware Detector by Sana Qadir, Amna Naeem, Mehdi Hussain, Huma Ghafoor, Aisha Hassan Abdalla Hashim

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Long-term tracking of neural and oligodendroglial development in large-scale human cerebral organoids by noninvasive volumetric imaging by Sangjun Park, Cheol Hong Min, Eunjin Choi, Jeong-Sun Choi, Kyungjin Park, Seokyoung Han, Wonjun Choi, Hyun-Jong Jang, Kyung-Ok Cho, Moonseok Kim

“…Line-shaped illumination mitigates photodamage and, alongside refined spatial gating, maximizes signal collection through integrating with computational processing. The integration of deconvolution and compressive sensing has improved image contrast by 6-fold, elucidating fine features of the neurites. …”
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Comparative Analysis of Machine Learning Algorithms With Advanced Feature Extraction for ECG Signal Classification by Tanuja Subba, Tejbanta Chingtham

“…However, its availability has been restricted, especially in contexts with limited resources, due to the cost associated with conventional ECG signal processing equipment. The importance of ECG signal processing classification for improving early diagnoses in clinical and remote monitoring contexts is highlighted here. …”
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Advancements in feature selection and extraction methods for text mining: a review by Lama Ayash, Abdulmohsen Algarni, Omar Alqahtani

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Benchmarking Sentence Encoders in Associating Indicators With Sustainable Development Goals and Targets by Ana Gjorgjevikj, Kostadin Mishev, Dimitar Trajanov, Ljupco Kocarev

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