A Self‐Organizing Map Spiking Neural Network Based on Tin Oxide Memristive Synapses and Neurons by Yu Wang, Yanzhong Zhang, Yanji Wang, Xinpeng Wang, Hao Zhang, Rongqing Xu, Yi Tong

“…Abstract Neuromorphic computing systems are promising alternatives in areas such as pattern recognition and image processing. …”
Get full text

Designing Development Readiness Indicators and Roadmap for Petaflops Scale Supercomputers by Davood Maleki, Mohammad Reza Ahmadi, Alireza Mansouri, Ehsan Arianyan

“…In this regard, a comprehensive roadmap is necessary to design and achieve high-performance computing services. This paper proposes a comprehensive roadmap focusing on several strategic areas, including research activities, infrastructure and platforms, data processing, standard regulations, applied services, and business development. …”
Get full text

Exponential optimization of adiabatic quantum-state preparation by Davide Cugini, Davide Nigro, Mattia Bruno, Dario Gerace

“…The preparation of a given quantum state on a quantum computing register is a typically demanding operation, requiring a number of elementary gates that scales exponentially with the size of the problem. …”
Get full text

AIoT-Enabled Data Management for Smart Agriculture: A Comprehensive Review on Emerging Technologies by Xu Luo, Shuming Xiong, Xiangchen Jia, Yu Zeng, Xiao Chen

“…., perception layer, transport layer, data platform layer, and application layer) correspond to agricultural information sensing, data transmission, storage processing, and intelligent decision-making, respectively. …”
Get full text

A swin transformer and CNN fusion framework for accurate Parkinson disease classification in MRI by Sayyed Shahid Hussain, Pir Masoom Shah, Hussain Dawood, Xu Degang, Ahmad Alshamayleh, Muhammad Adnan Khan, Taher M. Ghazal

Get full text

AERQ—A Web-Based Decision Support Tool for Air Quality Assessment by Pierluigi Cau, Davide Muroni, Guido Satta, Carlo Milesi, Carlino Casari

“…The decision support system (DSS), AERQ, incorporates the AERMOD modeling tool, achieving a 10 m spatial and 1 h temporal resolution for air quality predictions. It processes hourly climate and traffic data via a high-performance computing (HPC) platform, significantly enhancing prediction accuracy and decision-making efficiency. …”
Get full text

Breaking barriers: broadening neuroscience education via cloud platforms and course-based undergraduate research by Franco Delogu, Chantol Aspinall, Kimberly Ray, Anibal Solon Heinsfeld, Conner Victory, Franco Pestilli

“…Over four consecutive spring semesters (2021–2024), a total of 42 undergraduate students at Lawrence Technological University participated in computational neuroscience CUREs using brainlife.io, a cloud-computing platform. …”
Get full text

Discount-Based Cloud Resource Management Using Cloud Broker by M Vinoth Kumar, Medhavi Malik, Suchita Arora, Vinam Tomar, Sunita Pachar, Abhishek Yadav

“…Moreover, IT organizations might profit from developing a structure of warnings to further develop perceivability and control over asset utilization. Cloud computing is a model used to enable omnipresent, helpful, on-request network admittance to a common pool of configurable processing assets that can be quickly provisioned and delivered with negligible administrative exertion and without specialist organizations. …”
Get full text

A Quantum Q-Learning Fault Diagnosis Method for Intelligent Manufacturing Equipment by Yi Chen, Kai Deng, Xuelin Du, Zichao Chang, Tong Wan

“…The distinct advantages of quantum computing are innovatively integrated with the decision-making framework of Q-learning through this method. …”
Get full text

Modified LSTM based skin lesion segmentation and classification using optimization concept by S. Gomathi, N. Arunachalam

Get full text

Enhancing cross-subject emotion recognition precision through unimodal EEG: a novel emotion preceptor model by Yihang Dong, Changhong Jing, Mufti Mahmud, Michael Kwok-Po Ng, Shuqiang Wang

“…Abstract Affective computing is a key research area in computer science, neuroscience, and psychology, aimed at enabling computers to recognize, understand, and respond to human emotional states. …”
Get full text

Investigating the data science talent gap: Data practitioners’ perspectives by Wilma Coetzee, Roelien Goede

Get full text

EMVAS: end-to-end multimodal emotion visualization analysis system by Xianxun Zhu, Heyang Feng, Erik Cambria, Yao Huang, Ming Ju, Haochen Yuan, Rui Wang

Get full text

Enhancing Neural Network Interpretability Through Deep Prior-Guided Expected Gradients by Su-Ying Guo, Xiu-Jun Gong

Get full text

2D Particle Filter Accelerator for Mobile Robot Indoor Localization and Pose Estimation by Omer Tariq, Dongsoo Han

“…Particle filtering is a reliable Monte Carlo algorithm for estimating the state of a system in modeling non-linear, non-gaussian elements for estimation and tracking applications in various fields, including robotics, navigation, and computer vision. However, particle filtering can be computationally expensive, particularly in high-dimensional state spaces, and can be a bottleneck for real-time applications due to high memory consumption. …”
Get full text

LandNet: Combine CNN and Transformer to Learn Absolute Camera Pose for the Fixed-Wing Aircraft Approach and Landing by Siyuan Shen, Guanfeng Yu, Lei Zhang, Youyu Yan, Zhengjun Zhai

Get full text

Online Banking Fraud Detection Model: Decentralized Machine Learning Framework to Enhance Effectiveness and Compliance with Data Privacy Regulations by Hisham AbouGrad, Lakshmi Sankuru

Get full text

Towards a quantum decision tree in a laser pumped four-level system by Dawit Hiluf Hailu

“…This methodology is scalable to systems of N levels, offering potential applications in quantum computing and decision-making processes.…”
Get full text

Energy Market Manipulation via False-Data Injection Attacks: A Review by Ghadeer O. Alsharif, Christos Anagnostopoulos, Angelos K. Marnerides

Get full text

High-performance reconfigurable encryption scheme for distributed storage by Zhihua FENG, Yuxuan ZHANG, Chong LUO, Jianing WANG

“…As the world embraces the digital economy and enters an information society, data has emerged as a critical production factor.The collection, processing, and storage of data have become increasingly prevalent.Distributed storage systems, known for their efficiency, are widely used in various data fields.However, as the scale of data storage continues to expand, distributed storage faces more significant security risks, such as information leakage and data destruction.These challenges drive the need for innovative advancements in big data distributed storage security technology and foster the integration of domestic cryptographic technology with computing storage technology.This work focused on addressing security issues, particularly information leakage, in distributed storage nodes.A dynamic and reconfigurable encryption storage solution was proposed, which considered the requirements for encryption performance and flexibility.A high-performance reconfigurable cryptographic module was designed based on the bio mapping framework.Based on this module, multiple storage pools equipped with different cryptographic algorithms were constructed to facilitate high-performance encryption and decryption operations on hard disk data.The scheme also enabled dynamic switching of cryptographic algorithms within the storage pools.A cryptographic protocol with remote online loading functions for cryptographic algorithms and keys was developed to meet the unified management and convenient security update requirements of reconfigurable cryptographic modules in various storage nodes.Furthermore, the scheme implemented fine-grained data encryption protection and logical security isolation functions based on cryptographic reconstruction technology.Experimental results demonstrate that the performance loss of this scheme for encryption protection and security isolation of stored data is approximately 10%.It provides a technical approach for distributed storage systems to meet the cryptographic application technology requirements outlined in GB/T 39786-2021 “Information Security Technology-Basic Requirements for Cryptography Applications” Level 3 and above in terms of device and computing security, application and data security.…”
Get full text