Impact of computing platforms on classifier performance in heart disease prediction by Beenish Ayesha Akram, Muhammad Irfan, Amna Zafar, Sidra Khan, Rubina Shaheen

“…This work explores how different computing platforms influence the accuracy of classification results when employing the same models. …”
Get full text

Soft computing approaches of direct torque control for DFIM Motor's by Zakariae Sakhri, El-Houssine Bekkour, Badre Bossoufi, Nicu Bizon, Mishari Metab Almalki, Thamer A.H. Alghamdi, Mohammed Alenezi

Get full text

TREE: Bridging the gap between reconfigurable computing and secure execution by Sérgio Pereira, Tiago Gomes, Jorge Cabral, Sandro Pinto

“… Trusted Execution Environments (TEEs) have become a pivotal technology for securing a wide spectrum of security-sensitive applications. With modern computing systems shifting to heterogeneous architectures, integrating TEE support into these systems is paramount. …”
Get full text

Continual Learning With Neuromorphic Computing: Foundations, Methods, and Emerging Applications by Mishal Fatima Minhas, Rachmad Vidya Wicaksana Putra, Falah Awwad, Osman Hasan, Muhammad Shafique

“…After introducing the CL background and the energy efficiency challenges, we provide an extensive background of low-power neuromorphic computing systems including encoding techniques, neuronal dynamics, network architectures, learning rules, neuromorphic hardware processors, software and hardware frameworks, neuromorphic datasets, benchmarks, and evaluation metrics. …”
Get full text

Knowledge Distillation in Object Detection for Resource-Constrained Edge Computing by Arief Setyanto, Theopilus Bayu Sasongko, Muhammad Ainul Fikri, Dhani Ariatmanto, I. Made Artha Agastya, Rakandhiya Daanii Rachmanto, Affan Ardana, In Kee Kim

“…Edge computing, a distributed computing paradigm that places small yet capable computing devices near data sources and IoT sensors, is gaining widespread adoption in various real-world applications, such as real-time intelligent drones, autonomous vehicles, and robotics. …”
Get full text

Mitigation of Corruption by Implementing e-Government Using Soft Computing by Shareef M. Shareef

“…We believe that a soft computing-fuzzy logic algorithm is an appropriate method for evaluating and determining the effective factors, and hence might lead to a feasible way to the success of e-government. …”
Get full text

FIST GEOINFORMATION SYSTEM MODEL USING FOG COMPUTING IN DESTABILIZATION by V. V. Gryzunov

“…The developed model and performance indicators can be used to design new and evaluate existing geographic information systems.…”
Get full text

A segment-based framework for explainability in animal affective computing by Tali Boneh-Shitrit, Lauren Finka, Daniel S. Mills, Stelio P. Luna, Emanuella Dalla Costa, Anna Zamansky, Annika Bremhorst

“…In this paper, we propose a framework aimed at enhancing explainability in the field of animal affective computing. Assuming the availability of a classifier for a specific affective state and the ability to generate saliency maps, our approach focuses on evaluating and comparing visual explanations by emphasizing the importance of meaningful semantic parts captured as segments, which are thought to be closely linked to behavioral indicators of affective states. …”
Get full text

Virtual machine co-residency method on cloud computing platform by Weijie LIU, Li’na WANG, Danlei WANG, Zhengguang YIN, Nan FU

Get full text

SAPA-based approach for defending DoS attacks in cloud computing by Meng YUE, Kun LI, Zhi-jun WU

“…Denial of service (DoS) attack was one of the major threats to cloud computing.Security access path algorithm (SAPA) used node route table (NRT) to compose security access path.It simplified role nodes of traditional secure overlay services (SOS),and periodically updated role nodes,and cached security access paths.Therefore,SAPA was more appropriate for cloud computing to defend DoS attacks.Based on the turn routing architecture of cloud computing,the mathematical model of SAPA was built and its performance was analyzed in theory.The performance of SAPA was tested in OMNeT++ experimental platform.Also,the Test-bed experiments were performed to evaluate the effectiveness of SAPA for defending DoS attack.Experimental results show that comparing with SOS,SAPA can degrade the impact of communication success rate caused by DoS attack effectively,and guarantees the access delay small enough.…”
Get full text

Dynamic and Stochastic Models for Application Management in Distributed Computing Systems by Saleh M. Altowaijri

“…We developed multiple prototypes to investigate the organization of distributed applications under various system scales and workloads. To evaluate the system’s effectiveness and reliability, we computed steady-state probabilities using enhanced Markov models specifically designed for cloud, fog, and edge settings. …”
Get full text

Leveraging cognitive computing for advanced behavioral and emotional data insights by Chunhua Du, Wei Wang

“…Through comprehensive data analysis, we identify the primary factors driving current mental health concerns in student populations and evaluate the practical applications of cognitive computing in mitigating these issues. …”
Get full text

Dynamic Threshold-Based Resource Management for Fog Computing Environments by Jui-Pin Yang

“…To further support balanced workload distribution, a Quota-Based Round-Robin (QRR) scheduler is introduced, ensuring fairness and low computational overhead across fog nodes. Extensive experimental evaluations demonstrate that DTRM significantly reduces the resource redirection count compared to Static Threshold (ST), Deficit Round Robin (DRR), and Best-Effort (BE) schemes. …”
Get full text

Control of Linear-Threshold Brain Networks via Reservoir Computing by Michael McCreesh, Jorge Cortes

“…To mimic this setup, this paper examines the use of reservoir computing to control a linear-threshold network brain model to a desired trajectory. …”
Get full text

Edge Computing-Enabled Train Fusion Positioning: Modeling and Analysis by Hao Yin, Haifeng Song, Ruichao Wu, Min Zhou, Zixing Deng, Hairong Dong

“…An innovative approach, which combines multi-sensor information fusion with edge computing, is proposed to reduce the computational load on onboard systems and accelerate data processing. …”
Get full text

Comprehensive Review on Facets of Cloud Computing in Context of Security and Privacy by Saurabh Aggarwal, Ashish Khanna, Abhilash Maroju

“…The advent of information and communication technologies (ICT) has increased the appeal of cloud computing, allowing enterprises scalability and a pay-as-you-go pricing model. …”
Get full text

Reinforcement-Learning-Based Edge Offloading Orchestration in Computing Continuum by Ioana Ramona Martin, Gabriel Ioan Arcas, Tudor Cioara

“…The AI-driven applications and large data generated by IoT devices connected to large-scale utility infrastructures pose significant operational challenges, including increased latency, communication overhead, and computational imbalances. Addressing these is essential to shift the workloads from the cloud to the edge and across the entire computing continuum. …”
Get full text

NeuroMorse: a temporally structured dataset for neuromorphic computing by Ben Walters, Yeshwanth Bethi, Taylor Kergan, Binh Nguyen, Amirali Amirsoleimani, Jason K Eshraghian, Saeed Afshar, Mostafa Rahimi Azghadi

“…Neuromorphic engineering aims to advance computing by mimicking the brain’s efficient processing, where data is encoded as asynchronous temporal events. …”
Get full text

Evolutionary Algorithms and Quantum Computing: Recent Advances, Opportunities, and Challenges by Junaid Ur Rehman, Muhammad Shohibul Ulum, Abdurrahman Wachid Shaffar, Amirul Adlil Hakim, Mujirin, Zaid Abdullah, Hayder Al-Hraishawi, Symeon Chatzinotas, Hyundong Shin

“…This ongoing progress creates an opportunity to implement and evaluate quantum-inspired metaheuristics on real quantum devices, with the aim of uncovering potential computational advantages. …”
Get full text

CMOS Single-Photon Avalanche Diode Circuits for Probabilistic Computing by William Whitehead, Wonsik Oh, Luke Theogarajan

“…Measured results from the SPAD design space show that even extremely small SPADs are suitable for probabilistic computing purposes, and that high dark count rates are not detrimental either, so SPADs for probabilistic computing are actually easier to integrate in standard CMOS processes. …”
Get full text