Search Results for author:
Found 19 papers, 1 papers with code
An advanced data fabric architecture leveraging homomorphic encryption and federated learning
In a Federated learning architecture, the global model is trained based on the learned parameters of several local models that eliminate the necessity of moving data to a centralized repository for machine learning.
A Computer Vision Based Approach for Stalking Detection Using a CNN-LSTM-MLP Hybrid Fusion Model
Criminal and suspicious activity detection has become a popular research topic in recent years.
SynthEnsemble: A Fusion of CNN, Vision Transformer, and Hybrid Models for Multi-Label Chest X-Ray Classification
Chest X-rays are widely used to diagnose thoracic diseases, but the lack of detailed information about these abnormalities makes it challenging to develop accurate automated diagnosis systems, which is crucial for early detection and effective treatment.
Human Behavior-based Personalized Meal Recommendation and Menu Planning Social System
In addition to the meal recommendation, an automated menu planning approach is also proposed considering a person's energy intake requirement, affectivity, and nutritional values of the different menus.
Multi-modal Hate Speech Detection using Machine Learning
With the continuous growth of internet users and media content, it is very hard to track down hateful speech in audio and video.
Connected Hidden Neurons (CHNNet): An Artificial Neural Network for Rapid Convergence
Despite artificial neural networks being inspired by the functionalities of biological neural networks, unlike biological neural networks, conventional artificial neural networks are often structured hierarchically, which can impede the flow of information between neurons as the neurons in the same layer have no connections between them.
Affective social anthropomorphic intelligent system
A voice style transfer method is also proposed to map the attributes of a specific emotion.
Interpretable Bangla Sarcasm Detection using BERT and Explainable AI
A positive phrase or a sentence with an underlying negative motive is usually defined as sarcasm that is widely used in today's social media platforms such as Facebook, Twitter, Reddit, etc.
DSE Stock Price Prediction using Hidden Markov Model
An HMM is trained by analyzing the fractional change in the stock price as well as the intraday high and low values.
Bengali Handwritten Digit Recognition using CNN with Explainable AI
In our work, we have used various machine learning algorithms and CNN to recognize handwritten Bengali digits.
Explainable Artificial Intelligence (XAI)
Handwritten Digit Recognition
+1
Sketch2FullStack: Generating Skeleton Code of Full Stack Website and Application from Sketch using Deep Learning and Computer Vision
As a result, the efficiency of the development team is significantly reduced when it comes to converting UI wireframes and database schemas into an actual working system.
Explainable AI based Glaucoma Detection using Transfer Learning and LIME
Glaucoma is the second driving reason for partial or complete blindness among all the visual deficiencies which mainly occurs because of excessive pressure in the eye due to anxiety or depression which damages the optic nerve and creates complications in vision.
BanglaSarc: A Dataset for Sarcasm Detection
Being one of the most widely spoken language in the world, the use of Bangla has been increasing in the world of social media as well.
A Machine Learning Approach for Predicting Therapeutic Adherence to Osteoporosis Treatment
In this paper, we developed and tested accuracy of Machine Learning Models for predicting therapeutic adherence of patients to enable health professionals to compatibly decide on the therapeutic treatments and approaches for osteoporosis treatment and pharmacologic management of their patients.
Real Time Action Recognition from Video Footage
This research focuses on this problem by integrating state-of-the-art Deep Learning methods to ensure a robust pipeline for autonomous surveillance for detecting violent activities, e. g., kicking, punching, and slapping.
Action Recognition using Transfer Learning and Majority Voting for CSGO
Presently online video games have become a progressively favorite source of recreation and Counter Strike: Global Offensive (CS: GO) is one of the top-listed online first-person shooting games.
Demystifying Deep Learning Models for Retinal OCT Disease Classification using Explainable AI
In the world of medical diagnostics, the adoption of various deep learning techniques is quite common as well as effective, and its statement is equally true when it comes to implementing it into the retina Optical Coherence Tomography (OCT) sector, but (i)These techniques have the black box characteristics that prevent the medical professionals to completely trust the results generated from them (ii)Lack of precision of these methods restricts their implementation in clinical and complex cases (iii)The existing works and models on the OCT classification are substantially large and complicated and they require a considerable amount of memory and computational power, reducing the quality of classifiers in real-time applications.
Combining Machine Learning Classifiers for Stock Trading with Effective Feature Extraction
The unpredictability and volatility of the stock market render it challenging to make a substantial profit using any generalised scheme.
Drive Safe: Cognitive-Behavioral Mining for Intelligent Transportation Cyber-Physical System
Further, we develop a prototype of the proposed drive safe platform to establish proof-of-concept (PoC) for the road safety in IT-CPS.
