26
Publications
80
Auteurs uniques
0
Pays représentés
Publications
26 publication(s) trouvée(s)
Article scientifique
Developing Hate Speech Detector for Afan Oromo Content on Social Media Platforms Using Deep Neural Networks
Article scientifique
Hierarchical Reinforcement Learning for Neural Network Compression (HiReLC): Pruning and Quantization
We present HiReLC, a hierarchical ensemble-reinforcement learning framework for automated joint quantization and structured pruning of deep neural networks. The …
Article scientifique
Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm for Mobile Edge Computing Networks (EHRL)
Mobile Edge Computing (MEC) is a computational paradigm that brings resources closer to the network edge to provide fast and …
Article scientifique
A comprehensive survey of deep face verification systems adversarial attacks and defense strategies
Face Verification (FV) systems have exhibited remarkable performance in verification tasks and have consequently garnered extensive adoption across various applications, …
Article scientifique
A blockchain based deep learning framework for a smart learning environment
In the contemporary digital age, education is no longer limited to traditional educational environments. Many educational institutions shifted to depend …
Article scientifique
Model checking deep neural networks: opportunities and challenges
Deep neural networks (DNNs) are extensively used in both current and future manufacturing, transportation, and healthcare sectors. The widespread use …
Article scientifique
An enhanced ensemble defense framework for boosting adversarial robustness of intrusion detection systems
Machine learning (ML) and deep neural networks (DNN) have emerged as powerful tools for enhancing intrusion detection systems (IDS) in …
Article scientifique
Enhancing colorectal cancer histology diagnosis using modified deep neural networks optimizer
Optimizers are the bottleneck of the training process of any Convolutionolution neural networks (CNN) model. One of the critical steps …
Article scientifique
Minimizing Chaos in Echo State Networks: A Hybrid Approach Using the Lorenz System
In recent years, machine learning, especially deep neural networks, has made substantial progress, consistently surpassing conventional time-series forecasting methods across …
Article scientifique
Instance Segmentation on Distributed Deep Learning Big Data Cluster
Abstract This paper presents workflow in deep learning inference models in a distributed manner. This is often required in production …
Article scientifique
Context Normalization Layer with Applications
Normalization is a pre-processing step that converts the data into a more usable representation. As part of the deep neural …
Article scientifique
Efficient breast cancer mammograms diagnosis using three deep neural networks and term variance
Breast cancer (BC) is spreading more and more every day. Therefore, a patient's life can be saved by its early …
Article scientifique
Kidney segmentation from DCE-MRI converging level set methods, fuzzy clustering and Markov random field modeling
Early diagnosis of transplanted kidney function requires precise Kidney segmentation from Dynamic Contrast-Enhanced Magnetic Resonance Imaging images as a preliminary …
Article scientifique
Android Applications Classification with Deep Neural Networks
Abstract In an effort to foster the growth of Android in the mobile operating system market and keep current consumers, …
Article scientifique
Bias Reduction in Representation of Histopathology Images Using Deep Feature Selection
Abstract Appearing traces of bias in deep networks is a serious issue that can play a significant role in ethics …
Article scientifique
A Survey on Human Cancer Categorization Based on Deep Learning
In recent years, we have witnessed the fast growth of deep learning, which involves deep neural networks, and the development …
Article scientifique
Deep convolutional forest: a dynamic deep ensemble approach for spam detection in text
The increase in people's use of mobile messaging services has led to the spread of social engineering attacks like phishing, …
Article scientifique
Single-cell conventional pap smear image classification using pre-trained deep neural network architectures
BACKGROUND: Automating cytology-based cervical cancer screening could alleviate the shortage of skilled pathologists in developing countries. Up until now, computer …
Article scientifique
Single-Cell Conventional Pap Smear Image Classification Using Pre-Trained Deep Neural Network Architectures
Abstract Background: Automating Pap smear based cervical cancer screening could alleviate the challenge related to the shortage of skilled manpower, …
Article scientifique
Efficient Feature-Aware Hybrid Model of Deep Learning Architectures for Speech Emotion Recognition
Robust automatic speech emotional-speech recognition architectures based on hybrid convolutional neural networks (CNN) and feedforward deep neural networks are proposed …
1 / 2
Suivant →