Imbalance Aware Machine Learning for Benign Traffic Detection in Attack Majority IoT Networks

A Hybrid Framework for Dynamic Congestion Control and Priority-based Message Scheduling in Vehicular Ad-hoc Networks

Agent-Based Modeling of Herbal Compound Treatment for Allergic Inflammation in Asthma

A MILP-Based Optimization Framework for Joint Transmission Scheduling and Dynamic Channel Allocation in QoS-Constrained IoT Networks

Modeling Inflammation in Allergic Asthma: Exploring the Role of Mesenchymal Stem Cells in Therapeutic Strategies

Hardware-Software Co-Design Low-Complexity Fuzzy Algorithm for High-Dimensional Feature Space with in-Situ Learning

Generating a large family of nonlinear activation functions (LFNAFs) in neural networks

A Density-Based Fuzzy Clustering Algorithm Using Multi-Representatives Points Per Cluster Based on a New Distance Measure Using KNN Algorithm

Energy-aware clustering method for cluster head selection to increasing lifetime in wireless sensor network

Improvement of LEACH Protocol Based on Genetic Algorithm to Increase the Network Lifetime of Wireless Sensor Network

A Novel Hierarchical High-Dimensional Unsupervised Active Learning Method

Hardware architecture and memristor-crossbar implementation of type-2 fuzzy system with type reduction and in-situ training

Fcd‑cnn: FPGA‑based CU depth decision for HEVC intra encoder using CNN

A novel data-driven algorithm for object detection, tracking, distance estimation, and size measurement in stereo vision systems

ISY: Improved Sugeno-Yasukawa Fuzzy Modelling Approach Using a Novel Clustering and Project Method for Input Partitioning

A Novel Fuzzy Learning Model based on Forgetting Factor

Inverted Pendulum Control Using Negative Data

Development of a Novel Wheeled Parallel Robot with Six Degrees of Freedom

Obtaining Fuzzy Membership Function of Clusters with the Memristor Hardware Implementation and On-Chip Learning

Memristor Crossbar-Based Hardware Implementation of Type-2 Fuzzy Membership Function and On-Chip Learning

Hardware-Algorithm Co-Design of a Compressed Fuzzy Active Learning Method

Refining membership degrees obtained from fuzzy C-means by re-fuzzification

A novel alternative operator for INK Drop Spread (IDS) in Active Learning Method (ALM)

An adaptive efficient memristive ink drop spread (IDS) computing system

A bridge technique for memristor state programming

Digital hardware realization of a novel adaptive ink drop spread operator and its application in modeling and classification and on-chip training

A novel adaptive learning algorithm for low-dimensional feature space using memristor-crossbar implementation and on-chip training

Path planning of modular robots on various terrains using Q-learning versus optimization algorithms

Automatic Modulation Recognition Based on a Dual-Branch Architecture and SNR-Aware Feature Adjustment

TrainableBase Softmax: A simple Way to Improve Accuracy and Training Efficiency in Deep Neural Networks

Performance of ML Models for Benign Detection in Attack-Majority IoT Traffic

Devloping a clustering routing algorithm based on the efficient hybrid methodology for WSN performance optimization

Improving Artificial Neural Network Performance Using Hybrid Activation Function

Diagnosis of Diabetic Retinopathy with Fuzzy Technique and Deep Learning

Hybrid Vision Transformer-Boosting Model for Skin Lesion Classification on SLICE-3D

Evolutionary Approach to GAN Hyperparameter Tuning: Minimizing Discriminator and Generator Loss Functions

Current problems of higher education, industry and doctoral students and providing solutions

DPRNN-FORMER: AN EFFICIENT WAY TO DEAL WITH BLIND SOURCE SEPARATION

A Novel Density-Based KNN in Pattern Recognition

An improved ECG segmentation method based on adaptive Hermite functions

Outlier Robust Fuzzy Active Learning Method (ALM)

Elimination the effects of outlier based on active learning method using K the nearest neighbor