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Unmasking GAN-Generated Faces with Optimal Deep Learning and Cognitive Computing-Based Cutting-Edge Detection System
The emergence of deep learning (DL) has improved the excellence of generated media. However, with the enlarged level of photorealism, synthetic media...
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A survey of multi-population optimization algorithms for tracking the moving optimum in dynamic environments
The solution spaces of many real-world optimization problems change over time. Such problems are called dynamic optimization problems (DOPs), which...
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Cognitive Intelligent Decisions for Big Data and Cloud Computing in Industrial Applications using Trifold Algorithms
In contemporary real-time applications, diminutive devices are increasingly employing a greater portion of the spectrum to transmit data despite the...
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Computational intelligence-based classification system for the diagnosis of memory impairment in psychoactive substance users
Computational intelligence techniques have emerged as a promising approach for diagnosing various medical conditions, including memory impairment....
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Learning from Failure: Towards Develo** a Disease Diagnosis Assistant That Also Learns from Unsuccessful Diagnoses
In recent years, automatic disease diagnosis has gained immense popularity in research and industry communities. Humans learn a task through both...
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Adaptive scheduling-based fine-grained greybox fuzzing for cloud-native applications
Coverage-guided fuzzing is one of the most popular approaches to detect bugs in programs. Existing work has shown that coverage metrics are a crucial...
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Multi-Modal Generative DeepFake Detection via Visual-Language Pretraining with Gate Fusion for Cognitive Computation
With the widespread adoption of deep learning, there has been a notable increase in the prevalence of multimodal deepfake content. These deepfakes...
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Non-orthogonal multiple access-based MEC for energy-efficient task offloading in e-commerce systems
Mobile edge computing (MEC) reduces the latency for end users to access applications deployed at the edge by offloading tasks to the edge. With the...
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Towards Long-Term Remembering in Federated Continual Learning
BackgroundFederated Continual Learning (FCL) involves learning from distributed data on edge devices with incremental knowledge. However, current FCL...
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Prognostic prediction model for esophageal cancer based on probability membrane systems
Esophageal squamous cell carcinoma (ESCC) is a clinically common heterogeneous malignant tumor of the digestive system and also one of the diseases...
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SPEI-FL: Serverless Privacy Edge Intelligence-Enabled Federated Learning in Smart Healthcare Systems
Smart healthcare systems promise significant benefits for fast and accurate medical decisions. However, working with personal health data presents...
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Evolutionary spiking neural networks: a survey
Spiking neural networks (SNNs) are gaining increasing attention as potential computationally efficient alternatives to traditional artificial neural...
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Cognitive Tracing Data Trails: Auditing Data Provenance in Discriminative Language Models Using Accumulated Discrepancy Score
The burgeoning practice of unauthorized acquisition and utilization of personal textual data (e.g., social media comments and search histories) by...
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Explainable Histopathology Image Classification with Self-organizing Maps: A Granular Computing Perspective
The automatic analysis of histology images is an open research field where machine learning techniques and neural networks, especially deep...
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Advancing Medical Imaging Through Generative Adversarial Networks: A Comprehensive Review and Future Prospects
In medical imaging, traditional methods have long been relied upon. However, the integration of Generative Adversarial Networks (GANs) has sparked a...
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CPD-NSL: A Two-Stage Brain Effective Connectivity Network Construction Method Based on Dynamic Bayesian Network
Current brain science reveals that the connectivity patterns of the human brain are constantly changing when performing different tasks. Thus, brain...
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Multiple time servers timed-release encryption based on Shamir secret sharing for EHR cloud system
Electronic health record (EHR) cloud system, as a primary tool driving the informatization of medical data, have positively impacted both doctors and...
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A conceptual examination of an additive manufactured high-ratio coaxial gearbox
This research introduces the novel “Kraken-Gear” mechanism, emphasizing the advantages of additive polymer 3D printing in high-ratio gearbox systems...
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A Novel Memristors Based Echo State Network Model Inspired by the Brain’s Uni-hemispheric Slow-Wave Sleep Characteristics
Memristors serve as electronic components with the ability to store charge and demonstrate resistive states, which are similar to the synaptic...
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Generative AI and Cognitive Computing-Driven Intrusion Detection System in Industrial CPS
Industrial Cyber-Physical Systems (ICPSs) are becoming more and more networked and essential to modern infrastructure. This has led to an increase in...
