Index-Matching Two-Photon Polymerization for Enhancing Machining Accuracy of Diffractive Neural Networks by Mabiao Fu, Xiaoguang Ma, Weihong Shen, Ruojing Ren, Qiming Zhang

“…Experimentally, the IM-TPP process enhances device accuracy by 3.00% (91.67% to 94.67%), closely matching the theoretical simulated accuracy of 95.03%. …”
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A novel deep learning approach to classify 3D foot types of diabetic patients by Pui-ling Li, Qin-feng Xiao, Kit-lun Yick, Qi-long Liu, Li-ying Zhang

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Towards edge-collaborative, lightweight and privacy-preserving classification framework by Jinbo XIONG, Yongjie ZHOU, Renwan BI, Liang WAN, Youliang TIAN

“…Aiming at the problems of data leakage of perceptual image and computational inefficiency of privacy-preserving classification framework in edge-side computing environment, a lightweight and privacy-preserving classification framework (PPCF) was proposed to supports encryption feature extraction and classification, and achieve the goal of data transmission and computing security under the collaborative classification process of edge nodes.Firstly, a series of secure computing protocols were designed based on additive secret sharing.Furthermore, two non-collusive edge servers were used to perform secure convolution, secure batch normalization, secure activation, secure pooling and other deep neural network computing layers to realize PPCF.Theoretical and security analysis indicate that PPCF has excellent accuracy and proved to be security.Actual performance evaluation show that PPCF can achieve the same classification accuracy as plaintext environment.At the same time, compared with homomorphic encryption and multi-round iterative calculation schemes, PPCF has obvious advantages in terms of computational cost and communication overhead.…”
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Hybrid approaches and human brain activity modelling by A. V. Bogdanov, D. E. Gushchanskiy, A. B. Degtyarev, K. A. Lysov, N. I. Ananyeva, N. G. Neznanov, N. M. Zalutskaya

“…A different hybrid approach is based on neuromorphic computing. The idea we utilize is combination of artificial neural networks with specialized microcircuits. …”
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Energy Risk Analysis With Dynamic Amplitude Estimation and Piecewise Approximate Quantum Compiling by Kumar Ghosh, Kavitha Yogaraj, Gabriele Agliardi, Piergiacomo Sabino, Fernandez-Campoamor Marina, Bernabe-Moreno Juan, Giorgio Cortiana, Omar Shehab, Corey O'Meara

“…In this article, we generalize the approximate quantum compiling algorithm into a new method for <sc>cnot</sc>-depth reduction, which is apt to process wide target quantum circuits. Combining this method with state-of-the-art techniques for error mitigation and circuit compiling, we present a ten-qubit experimental demonstration of iterative amplitude estimation on a quantum computer. …”
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Advancements in fully homomorphic encryption over the integers: a comprehensive survey and analysis by Rohitkumar R. Upadhyay, Sahadeo Padhye

“…Fully Homomorphic Encryption (FHE) schemes represent a groundbreaking development that enables computations on encrypted data while ensuring data privacy. …”
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Machine learning driven digital twin model of Li-ion batteries in electric vehicles: a review by Muaaz Bin Kaleem, Wei He, Heng Li

“…Recently, researchers are working on the development of digital twin models to automate and optimize the BMS state estimation process by utilizing machine learning (ML) algorithms and cloud computing. …”
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TinyML-enabled fuzzy logic for enhanced road anomaly detection in remote sensing by Amna Khatoon, Weixing Wang, Mengfei Wang, Limin Li, Asad Ullah

“…Our framework addresses critical gaps in existing methodologies, such as high computational demands and limited real-time processing capabilities, by leveraging model compression, quantization, and pruning techniques. …”
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Fuzzy Rough Set Models Based on Fuzzy Similarity Relation and Information Granularity in Multi-Source Mixed Information Systems by Pengfei Zhang, Yuxin Zhao, Dexian Wang, Yujie Zhang, Zheng Yu

“…As a pivotal research method in the field of granular computing (GrC), fuzzy rough sets (FRSs) have garnered significant attention due to their successful overcoming of the limitations of traditional rough sets in handling continuous data. …”
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The present situation and shifts observed in wetlands within the St. Lawrence Seaway region of Canada, utilizing imagery from the Landsat archive and the cloud-based platform Googl... by Meisam Amani, Mohammad Kakooei, Rebecca Warren, Sahel Mahdavi, Kevin Murnaghan, Arsalan Ghorbanian, Amin Naboureh

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Green Video Transcoding in Cloud Environments Using Kubernetes: A Framework With Dynamic Renewable Energy Allocation and Priority Scheduling by B. M. Beena, Prashanth Cheluvasai Ranga, A. Vinitha Chowdary, Rohan Gamidi, M. Hemasri, Tejaswi Muppala

“…By reducing energy consumption and carbon footprint, this framework contributes to the advancement of sustainable cloud computing solutions.…”
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METHODS OF APPROXIMATION OF FUNCTIONS BY GENERALIZED POLYNOMIALS IN NUMERICAL ANALYSIS PROBLEMS RELATED TO CALCULATIONS ON APPROXIMATE DATA by Igor Eduardovich Naats, Victoria Igorevna Naats, Elena Pavlovna Yartseva

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Apprehending the Effect of Internet of Things (IoT) Enables Big Data Processing through Multinetwork in Supporting High-Quality Food Products to Reduce Breast Cancer by Surendra Kumar Shukla, B. Muthu Kumar, Divyanshu Sinha, Varsha Nemade, Shynar Mussiraliyeva, R. Sugumar, Rituraj Jain

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Evolving techniques in sentiment analysis: a comprehensive review by Mahander Kumar, Lal Khan, Hsien-Tsung Chang

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Automatic License Plate Recognition (ALPRON) Using Optical Character Recognition Method by Purwono Prasetyawan, Muhammad Athallah Cahya Aulia, Nia Saputri Utami, Uri Arta Ramadhani

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LOGIC: LLM-originated guidance for internal cognitive improvement of small language models in stance detection by Woojin Lee, Jaewook Lee, Harksoo Kim

“…Stance detection is a critical task in natural language processing that determines an author’s viewpoint toward a specific target, playing a pivotal role in social science research and various applications. …”
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Machine learning approach for bipolar disorder analysis and recognition based on handwriting digital images by Ahmadali Jamali, Reza kargar, Shahin Alipour, Mohsen Rostamy-Malkhalifeh

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The importance of needs satisfaction, teacher support, and L2 learning experience in Intelligent Computer-Assisted Language Assessment (ICALA): a probe into the state of willingnes... by Alaa Aladini, Rashed Mahmud, Abeer Ahmed Hammad Ali

“…Abstract In recent years, Intelligent Computer-Assisted Language Assessment (ICALA) has emerged as a transformative approach in language education, leveraging technology to enhance student assessment and learning processes. …”
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DCAT: A Novel Transformer-Based Approach for Dynamic Context-Aware Image Captioning in the Tamil Language by Jothi Prakash Venugopal, Arul Antran Vijay Subramanian, Manikandan Murugan, Gopikrishnan Sundaram, Marco Rivera, Patrick Wheeler

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SIR Coverage Analysis in Multi-Cell Downlink Systems With Spatially Correlated Queues by Xiaozhou Zhang, Howard H. Yang, Xiaofang Sun, Gang Zhu, Tony Q. S. Quek, Zhangdui Zhong

“…The locations of the former are modeled by a Neyman-Scott process and those of the latter are modeled as a residual hole process. …”
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