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End-to-End Transformer Architecture with Novel Ensemble Learning Method Integrating CT Scans and Clinical Narratives for Brain Stroke Diagnosis 41st

End-to-End Transformer Architecture with Novel Ensemble Lea...

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41st computer Graphics International Conference, CGI 2024

作者： Abdul Wahid, Junaid Ayoub, Muhammad Xu, Mingliang Jiang, Xiaoheng Lei, Shi Li, Lifeng Hussain, Shabir Khawaja, Ashfaque Gao, Yufei School of Computer Science and Artificial Intelligence Zhengzhou University Zhengzhou450001 China School of Electronic Information and Electrical Engineering Shanghai Jiaotong University Shanghai200240 China School of Computer Science and Engineering Central South University Hunan Changsha336017 China School of Cyber Space and Security Zhengzhou University Zhengzhou450002 China Institute of Biopharmaceutical and Health Engineering Tsinghua Shenzhen International Graduate School Shenzhen100084 China

ISBN: (纸本)9783031820236

This study is an extension of our previously published manuscript [2]. Building upon the foundations laid in our earlier work, this research further refines and extends the transformer-based approach to enhance its diagnostic capabilities. The focus remains on the integration of multi-modal information, combining both textual clinical narratives and imaging data from multi slice CT scans, to provide a more comprehensive and accurate diagnosis of brain strokes. In addition, we introduce a new ensemble learning approach based on logic gates. This innovative method combines information from clinical narratives and CT scans to enhance the diagnostic capabilities of our framework, marking a significant evolution in our approach to advancing precision in brain stroke detection. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： computerized tomography

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TEXCEL: text encryption with elliptic curve cryptography for enhanced security

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Multimedia Tools and Applications 2025年第13期84卷 11503-11531页

作者： Sharma, P.L. Gupta, Shalini Monga, Himanshu Nayyar, Anand Gupta, Kritika Sharma, Arun Kumar Department of Mathematics & Statistics Himachal Pradesh University Shimla171005 India Government Hydro Engineering College Bilaspur174001 India Graduate School Faculty of Information Technology Duy Tan University Da Nang550000 Viet Nam Department of Computer Science and Engineering Central University of Jammu District Samba J&K 181143 India

Elliptic curve cryptography has emerged as a potent tool for safeguarding data communications. This research paper addresses the problem of traditional text encryption methods relying on shared code tables between senders and receivers. This reliance not only adds complexity but also increases the risk of security breaches and requires significant communication overhead. In the present paper, we introduce TEXCEL, an innovative, efficient and authenticated text encryption scheme. TEXCEL begins with a pioneering method for crafting a customized permuted ASCII table elevating cryptographic security by leveraging elliptic curve coordinates as keys. These coordinates serve as seeds for a random number generator ensuring reproducibility. Here, the technique used to map the characters of the message to a point on elliptic curve eliminates the traditional approach of sharing a code table between sender and receiver, thus reducing communication overhead. TEXCEL undergoes a thorough security analysis, including NIST evaluation, key and plaintext sensitivity, and resilience against common attacks like known-ciphertext, known-plaintext, chosen-plaintext, and chosen-ciphertext. To test and validate the proposed methodology, experimental results present that TEXCEL demonstrates plaintext sensitivity exceeding 98%, high randomness, and a robust key space. Additionally, encryption and decryption of a 5000-character text takes only 0.027 s and 0.007 s respectively, with a cipher size of 9.8 KB, ensuring both security and efficiency. Furthermore, as compared with the existing schemes, TEXCEL shows enhanced resilience against modern cryptanalysis and outperforms existing schemes with a 53.50% improvement in encryption time, 94.86% in decryption time, 53.31% in cipher data size and better plaintext sensitivity. These findings justify the suitability of TEXCEL for secure text communication in diverse real-time applications. © The Author(s), under exclusive licence to Springer science+Bu

关键词： Geometry

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Privacy protection and data security in intelligent recommendation systems

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Neural Computing and Applications 2025年 1-18页

作者： Zheng, Donghua Alkawaz, Mohammed Hazim Johar, Md Gapar Md School of Information Technology and Engineering Guangzhou College of Commerce Guangdong Guangzhou511363 China School of Graduate Studies Management and Science University Selangor Shah Alam40100 Malaysia Department of Computer Science College of Education for Pure Science University of Mosul Nineveh Mosul41002 Iraq Software Engineering and Digital Innovation Centre Management and Science University Selangor Shah Alam40100 Malaysia

Data security and privacy have emerged as major areas of study for recommendation systems. This is crucial for enhancing system security given the quick advancement of Internet technology and its increased use. However, there are still issues with privacy protection and data security in current intelligent recommendation systems, such as a high probability of privacy leakage, low data security, and poor recommendation performance. To better promote the wider application of intelligent recommendation systems, this article introduces federated learning and differential privacy technology to conduct in-depth research on privacy protection and data security in intelligent recommendation systems. In the article, a federated learning framework is used to construct an intelligent recommendation system model, and the constructed model is trained. Furthermore, a differential privacy mechanism is introduced, which can protect the privacy of samples by analyzing the sensitivity of L1 and L2, gradient descent, gradient pruning, and other methods. Next, the secure multi-party computation (SMC) protocol can be used to achieve model parameter sharing and protect the privacy of participants;subsequently, there is the implementation of federated learning. Finally, this article also evaluates the practical application effects of federated learning and differential privacy technology in privacy protection and data security in intelligent recommendation systems. The study’s findings indicate that the approach suggested in this article has an average data security and privacy leakage risk of 5.35% and 96.64%;federated learning is 16.55% and 85.08%, respectively;differential privacy is 9.65% and 88.47%, respectively;deep learning is 21.08% and 77.92%, respectively;and homomorphic encryption is 10.69% and 82.43%, respectively. The combination of federal learning and differential privacy can effectively protect the privacy and data security of the intelligent recommendation system, reduce

关键词： Sensitive data

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A Multi-UAV Charging Station Enabling Free Landing by Grid Pattern Transmitter 14

A Multi-UAV Charging Station Enabling Free Landing by Grid P...

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14th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2025

作者： Kim, Jungho Jo, Hyunkyeong Seo, Seoktae Lee, Bonyoung Min, Hyungki Bien, Franklin Ulsan National Institute of Science and Technology School of Electrical and Computer Engineering Ulsan Korea Republic of Ulsan National Institute of Science and Technology Program in Information & Communication Technology Convergence Ulsan Korea Republic of

ISBN: (纸本)9798331516116

This paper proposed a novel landing platform with wireless power transfer (WPT) to charge multiple unmanned aerial vehicles (UAVs) without restrictions on landing locations or alignment. A transmitter is designed using wires to charge a wide area. To overcome the disadvantages of system made by wires, a grid pattern transmitter and double power line are proposed. These structures provide multiple charging with free positioning of receivers and excite the transmitter lines in wide area properly. The optimized system is composed of 0.15m square cells, providing a 0.9 m by 0.9 m charging area. By experiment, it can efficiently charge four 0.1 m square receivers located anywhere in transmitter. The overall efficiency of four receivers is 37.5%. Also, the experimental results verify that it is unnecessary to align the receiver within the cell, as it has a 2.62% error due to rotation and a 2.94 % error due to position within the cell. © 2025 IEEE.

关键词： Drones

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View-Invariant Object Representation in Anterior and Posterior Inferotemporal Cortex: A Machine Learning Approach

SSRN

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SSRN 2025年

作者： Okamura, Jun-Ya Fukano, Daisuke Wang, Gang Information Science and Biomedical Engineering Program Graduate School of Science and Engineering Kagoshima University Kagoshima890-0065 Japan

Inferotemporal (IT) cortex is the final visual area in the ventral stream where object information is processed. Previous electrophysiological studies showed viewing angle tolerance of 30-60° of single IT cells to the objects experienced in discrimination at each of several viewing angles, and to the objects experienced in learning association of different views. IT is divided into anterior (cytoarchitectonic area TE) and posterior (TEO) parts. It was reported that single cells in area TE showed the viewing angle tolerance while those in area TEO did not. In the present study population activities were compared between cell populations in area TE and those in area TEO using machine learning algorithm. An object set consisted of four similar objects created by deforming a prototype object, and four views each separated by 30°. A population vector was created by aligning responses of the cells to each object image. A classifier was trained by support vector machine (SVM) to create a hyperplane that separated one object from the other three objects at the same viewing angles, and then tested by response vectors to the object images at different viewing angles. In area TE, dynamics of the performance evaluated by d’ showed viewing angle tolerance of 30-60° to the objects with prior experience in learning association of different views. In area TEO, populations of the cells did not show the viewing angle tolerance. Significant increase of the d’ values in area TE in the late time period for the objects with prior experience in learning association of different views may suggest view-invariance is more represented in late time period than early time period. These results suggest that viewpoint invariance is expressed more strongly in the TE region, providing new insights into the neural basis of object recognition © 2025, The Authors. All rights reserved.

关键词： Support vector machines

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WiPE: Privacy-friendly WiFi-based Human Pose Estimation on Consumer Platform

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IEEE Transactions on Consumer Electronics 2025年

作者： Huang, Huakun Wang, Peiliang Zhao, Lingjun Dai, Zeyang Liu, Guowei Gao, Honghao Guangzhou University School of Computer Science and Cyber Engineering China Guangdong Polytechnic Normal University School of Electronics and Information China Chiba University Graduate School of Engineering Japan Shanghai University School of Computer Engineering and Science China

With consumer electronics development, consumerelectronic WiFi-based human pose estimation (HPE) has been acknowledged as an emerging and privacy-friendly technology. Since WiFi signals do not directly capture the human image, WiFi offers a suitable solution for various scenarios. Such as security monitoring and privacy-preserving human monitoring. Existing studies have neglected the sparsity in the joint heatmaps of HPE, and also have not effectively utilized the diversity ofWiFi signals. As a result, it is difficult to provide an accurate human pose estimation. To overcome the above challenges, we propose a sparse regularization method for WiFi-based HPE (WiPE). Considering the sparse nature of the joint heatmap, we design a sparse regularized neural network to focus output around the joint. Subsequently, through a three-dimensional streaming signal fusion modular, we sufficiently integrate diverse features in subcarriers ofWiFi signals, obtaining key frames. Experiment results on a real establishing system show that our WiPE outperforms state-of-the-art methods. WiPE achieved a PCK@0.2 score of 95.97%, indicating high accuracy. At the same time, our WiPE is more lightweight than other methods. WiPE has 43.14 floating point operations (FLOPs). Morphological information of the body is also obtained by WiPE. © 1975-2011 IEEE.

关键词： Differential privacy

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The Effect of WebRTC Jitter Buffer on Cloud Streaming Game QoE

The Effect of WebRTC Jitter Buffer on Cloud Streaming Game Q...

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Consumer Technology (ICCT-Pacific), International Conference on

作者： Naoyasu Kaneko Toshiro Nunome Department of Engineering Computer Science Program Graduate School of Engineering Nagoya Institute of Technology Nagoya Japan

ISBN: (数字)9798331504120

ISBN: (纸本)9798331504137

This paper considers a cloud streaming game using WebRTC. Since the cloud streaming game consists of a server and a client, the network quality between them affects the game. Among the network quality degradation factors, we focus on delay jitter. We reduce the effect of the jitter by buffering. We conduct a subjective experiment of a single-player action game and evaluate application-level QoS and QoE. We investigate the impact of buffering on the video and audio quality of the user playing the game.

关键词： Degradation Games Quality of service Jitter Streaming media Cloud gaming Delays Quality of experience Servers WebRTC

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Path Planning Method for Mobile Robots in Pedestrian-Friendly Environments Using Drone Bird's-Eye View

Path Planning Method for Mobile Robots in Pedestrian-Friendl...

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2025 IEEE/SICE International Symposium on System Integration, SII 2025

作者： Ye, Linghao Chugo, Daisuke Muramatsu, Satoshi Yokota, Sho Hashimoto, Hiroshi Kwansei Gakuin University Graduate School of Science and Technology Hyogo Sanda6691330 Japan Tokai University School of Information Science and Technology Kanagawa Hiratsuka2591292 Japan Toyo University Faculty of Science and Engineering Saitama Kawagoe3508585 Japan Advanced Institute of Industrial Technology Master Program of Innovation for Design and Engineering Shinagawa Tokyo1400011 Japan

ISBN: (纸本)9798331531614

The objective of this paper is to develop a robot system that can transmit the video taken by the drone to the computer in real time, use YOLO to recognize the image of pedestrians, and enable the ground robot to plan the path to avoid pedestrians. External sensors, such as laser range finders (LRF) and CCD cameras, are often used on mobile robots. As we all know, these sensors are susceptible to occlusion. Therefore, even if the mobile robot avoids the pedestrian in front of it, it is likely to collide with other pedestrians that cannot be detected due to occlusion. In this study, we used a drone to shoot videos at high altitudes, transferred the videos to a computer, used YOLO on the computer to perform image recognition of pedestrians around the robot, and passed the recognition results to ROS, which enabled it to plan a path to avoid pedestrians around it. As a result, showed that the videos shot at high altitudes could effectively identify pedestrians around the robot after being recognized by YOLO. © 2025 IEEE.

关键词： Drones

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A Survey on Applications of Large Language Model-Driven Digital Twins for Intelligent Network Optimization

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IEEE Communications Surveys and Tutorials 2025年

作者： Guo, Zhiqi Tang, Fengxiao Luo, Linfeng Zhao, Ming Kato, Nei Central South University School of Computer Science and Engineering Changsha410000 China Tohoku University Graduate School of Information Sciences Japan

With the widespread application of digital twin (DT) technology in network optimization and intelligent management, its integration with large language models (LLMs) presents immense potential. LLMs excel in natural language processing, multimodal analysis, and real-time optimization, enabling innovative solutions for intelligent monitoring, resource allocation, and decision-making in complex network environments. This paper systematically reviews the development of DTs and LLMs, elaborates on their core principles and application scenarios, and examines the capabilities of LLM-driven DTs in key network optimization tasks, including traffic prediction, fault diagnosis, resource allocation, and multi-objective optimization. By leveraging real-time data from DTs, LLMs can dynamically generate optimization strategies, enabling precise monitoring and intelligent tuning. Furthermore, this paper explores the potential of integrating LLMs and DTs to address complex challenges such as data quality, latency sensitivity, and energy consumption demands, while summarizing existing technical bottlenecks. Finally, the paper proposes several potential research directions to address these challenges, offering a comprehensive perspective for advancing the efficiency and automation of next-generation intelligent networks. © 1998-2012 IEEE.

关键词： Decision making

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Heralded optical entanglement distribution via lossy quantum channels: a comparative study

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Optics Express 2025年第6期33卷 12459-12474页

作者： Zo, Wan Chin, Seungbeom Kim, Yong-Su Seoul02792 Korea Republic of Department of Physics and Astronomy Seoul National University Seoul08826 Korea Republic of Department of Electrical and Computer Engineering Sungkyunkwan University Suwon16419 Korea Republic of Okinawa Institute of Science and Technology Graduate University Okinawa904-0495 Japan Division of Quantum Information Korea University of Science and Technology KIST School Seoul02792 Korea Republic of

Quantum entanglement serves as a foundational resource for various quantum technologies. In optical systems, entanglement distribution relies on the indistinguishability and spatial overlap of photons. Heralded schemes play a crucial role in ensuring the reliability of entanglement generation by detecting ancillary photons to signal the creation of desired entangled states. However, photon losses in quantum channels remain a significant challenge, limiting the distance and capacity of entanglement distributions. This study suggests three heralded schemes for distributing multipartite Greenberger-Horne-Zeilinger (GHZ) states via lossy quantum channels. These schemes differ both qualitatively in their network architecture (centralized or decentralized) and photon source requirements (Bell states or single-photons), and quantitatively in their success probabilities and heralding efficiency. Through comprehensive analysis incorporating both practical implementation considerations and theoretical performance metrics, we find that each scheme offers distinct advantages depending on the number of parties, channel distance, and security requirements. The decentralized scheme proves particularly advantageous for networks requiring balanced information distribution, while centralized schemes may offer better performance for smaller networks. This analysis provides insights into designing resilient heralded circuits for quantum information processing over lossy channels, considering both architectural constraints and performance requirements. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Quantum channel

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