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Found 18 papers, 4 papers with code
LWIRPOSE: A novel LWIR Thermal Image Dataset and Benchmark
Human pose estimation faces hurdles in real-world applications due to factors like lighting changes, occlusions, and cluttered environments.
Transformative Effects of ChatGPT on Modern Education: Emerging Era of AI Chatbots
ChatGPT, an AI-based chatbot, was released to provide coherent and useful replies based on analysis of large volumes of data.
Multi-Fault Diagnosis Of Industrial Rotating Machines Using Data-Driven Approach: A Review Of Two Decades Of Research
This paper identifies the foundational work done in the field and gives a comparative study of different aspects related to multi-fault diagnosis of industrial rotating machines.
Securing AI-based Healthcare Systems using Blockchain Technology: A State-of-the-Art Systematic Literature Review and Future Research Directions
This paper has conducted a Systematic Literature Review to explore the state-of-the-art research studies conducted in healthcare applications developed with different AI techniques and Blockchain Technology.
Explainable Misinformation Detection Across Multiple Social Media Platforms
In this work, the integration of two machine learning approaches, namely domain adaptation and explainable AI, is proposed to address these two issues of generalized detection and explainability.
Fuzzy Mutation Embedded Hybrids of Gravitational Search and Particle Swarm Optimization Methods for Engineering Design Problems
The developed algorithms are called Mutation based GPS (MGPS) and Mutation based PSOGSA (MPSOGSA).
Interpreting Context of Images using Scene Graphs
The context can be conducive to comprehending an image since it will help us to perceive the relation between the objects and thus, give us a deeper insight into the image.
Heuristic design of fuzzy inference systems: A review of three decades of research
This paper provides an in-depth review of the optimal design of type-1 and type-2 fuzzy inference systems (FIS) using five well known computational frameworks: genetic-fuzzy systems (GFS), neuro-fuzzy systems (NFS), hierarchical fuzzy systems (HFS), evolving fuzzy systems (EFS), and multi-objective fuzzy systems (MFS), which is in view that some of them are linked to each other.
Using 3D Hahn Moments as A Computational Representation of ATS Drugs Molecular Structure
Meanwhile, new molecular imaging devices which allowed mankind to characterize the physical 3D molecular structure have been recently introduced, and it can be used to remedy the limitations of existing drug test kits.
ACO for Continuous Function Optimization: A Performance Analysis
A comprehensive performance analysis of the underlying parameters such as: selection strategy, distance measure metric and pheromone evaporation rate of the ACO suggests that the Roulette Wheel Selection strategy enhances the performance of the ACO due to its ability to provide non-uniformity and adequate diversity in the selection of a solution.
Simultaneous Optimization of Neural Network Weights and Active Nodes using Metaheuristics
Optimization of neural network (NN) significantly influenced by the transfer function used in its active nodes.
Multiobjective Programming for Type-2 Hierarchical Fuzzy Inference Trees
Hence, the proposed HFIT is an efficient and competitive alternative to the other FISs for function approximation and feature selection.
Metaheuristic Design of Feedforward Neural Networks: A Review of Two Decades of Research
The FNN optimization is often viewed from the various perspectives: the optimization of weights, network architecture, activation nodes, learning parameters, learning environment, etc.
Ensemble of heterogeneous flexible neural trees using multiobjective genetic programming
Machine learning algorithms are inherently multiobjective in nature, where approximation error minimization and model's complexity simplification are two conflicting objectives.
Predictive modeling of die filling of the pharmaceutical granules using the flexible neural tree
It was found that the FNT-based CI model (for both CV methods) performed much better than other CI models.
CHAOS: A Parallelization Scheme for Training Convolutional Neural Networks on Intel Xeon Phi
In this paper, we present our parallelization scheme for training convolutional neural networks (CNN) named Controlled Hogwild with Arbitrary Order of Synchronization (CHAOS).
Hybrid Genetic Algorithm for Cloud Computing Applications
In this paper with the aid of genetic algorithm and fuzzy theory, we present a hybrid job scheduling approach, which considers the load balancing of the system and reduces total execution time and execution cost.
Intrusion Detection Systems Using Adaptive Regression Splines
Past few years have witnessed a growing recognition of intelligent techniques for the construction of efficient and reliable intrusion detection systems.
