Muhammad Usman Ghani Khan
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View article: Enhancing Medical Images Quality Using Vision Transformer Framework
Enhancing Medical Images Quality Using Vision Transformer Framework Open
High resolution images are crucial for precise diagnosis and efficient treatment planning in medical imaging. However, prevalence of low-resolution images remains a significant challenge, often limiting the detail and clarity necessary for…
View article: Extreme heat prediction through deep learning and explainableAI
Extreme heat prediction through deep learning and explainableAI Open
Extreme heat waves are causing widespread concern for comprehensive studies on their ecological and societal implications. With the ongoing rise in global temperatures, precise forecasting of heatwaves becomes increasingly crucial for proa…
View article: Solar Irradiance Forecasting Using Temporal Fusion Transformers
Solar Irradiance Forecasting Using Temporal Fusion Transformers Open
Global climate change has intensified the search for renewable energy sources. Solar power is a cost‐effective option for electricity generation. Accurate energy forecasting is crucial for efficient planning. While various techniques have …
View article: LCGD: Enhancing Text-to-Video Generation via Contextual LLM Guidance and U-Net Denoising
LCGD: Enhancing Text-to-Video Generation via Contextual LLM Guidance and U-Net Denoising Open
Diffusion models have emerged as a leading solution in computer vision and they excel at audio, image, and video generation by utilizing the Markov chain to map complex latent spaces. These models outperform other generative models such as…
View article: UEF-HOCUrdu: Unified Embeddings Ensemble Framework for Hate and Offensive Text Classification in Urdu
UEF-HOCUrdu: Unified Embeddings Ensemble Framework for Hate and Offensive Text Classification in Urdu Open
Hate speech and other forms of hostile communication on social media have several implications such as; fostering violence, promoting social divide, and negative psychological effects. Since such toxic language is becoming more and more co…
View article: TMRE: Novel Algorithm for Computing Daily Reference Evapotranspiration Using Transformer-Based Models
TMRE: Novel Algorithm for Computing Daily Reference Evapotranspiration Using Transformer-Based Models Open
View article: Unveiling Facial Fidelity: A Novel Approach to Synthesizing High-Quality Face Images Using Generative Adversarial Networks
Unveiling Facial Fidelity: A Novel Approach to Synthesizing High-Quality Face Images Using Generative Adversarial Networks Open
In the field of computer vision, generating realistic images from sketches has garnered considerable attention due to its wide-ranging applications in art, design, and facial recognition systems. With increasing demand for more sophisticat…
View article: Sleep stage prediction using multimodal body network and circadian rhythm
Sleep stage prediction using multimodal body network and circadian rhythm Open
Quality sleep plays a vital role in living beings as it contributes extensively to the healing process and the removal of waste products from the body. Poor sleep may lead to depression, memory deficits, heart, and metabolic problems, etc …
View article: Vision based intelligent traffic light management system using Faster R‐CNN
Vision based intelligent traffic light management system using Faster R‐CNN Open
Transportation systems primarily depend on vehicular flow on roads. Developed countries have shifted towards automated signal control, which manages and updates signal synchronisation automatically. In contrast, traffic in underdeveloped c…
View article: ANN: adversarial news net for robust fake news classification
ANN: adversarial news net for robust fake news classification Open
View article: Identifying key soil characteristics for Francisella tularensis classification with optimized Machine learning models
Identifying key soil characteristics for Francisella tularensis classification with optimized Machine learning models Open
View article: Ds-Slam: Enhancing Feature Extraction for Vslam in Dynamic Environments Using Vision Transformer Methods
Ds-Slam: Enhancing Feature Extraction for Vslam in Dynamic Environments Using Vision Transformer Methods Open
View article: Enhancing Medical Images Quality Using Vision Transformer Framework
Enhancing Medical Images Quality Using Vision Transformer Framework Open
View article: Vidcap-Llm: Vision-Transformer and Large Language Model for Video Captioning with Linguistic Semantics Integration
Vidcap-Llm: Vision-Transformer and Large Language Model for Video Captioning with Linguistic Semantics Integration Open
View article: Transformer Network for Multi-Person Tracking and Re-Identification in Unconstrained Environment
Transformer Network for Multi-Person Tracking and Re-Identification in Unconstrained Environment Open
Multi-object tracking (MOT) has profound applications in a variety of fields, including surveillance, sports analytics, self-driving, and cooperative robotics. Despite considerable advancements, existing MOT methodologies tend to falter wh…
View article: Passion-Net: a robust precise and explainable predictor for hate speech detection in Roman Urdu text
Passion-Net: a robust precise and explainable predictor for hate speech detection in Roman Urdu text Open
With an aim to eliminate or reduce the spread of hate content across social media platforms, the development of artificial intelligence supported computational predictors is an active area of research. However, diversity of languages hinde…
View article: Deep ensemble approach for pathogen classification in large-scale images using patch-based training and hyper-parameter optimization
Deep ensemble approach for pathogen classification in large-scale images using patch-based training and hyper-parameter optimization Open
Pathogenic bacteria present a major threat to human health, causing various infections and illnesses, and in some cases, even death. The accurate identification of these bacteria is crucial, but it can be challenging due to the similaritie…
View article: Multi-Class Confidence Detection Using Deep Learning Approach
Multi-Class Confidence Detection Using Deep Learning Approach Open
The advancement of both the fields of Computer Vision (CV) and Artificial Neural Networks (ANNs) has enabled the development of effective automatic systems for analyzing human behavior. It is possible to recognize gestures, which are frequ…
View article: An Explainable AI-Enabled Framework for Interpreting Pulmonary Diseases from Chest Radiographs
An Explainable AI-Enabled Framework for Interpreting Pulmonary Diseases from Chest Radiographs Open
Explainable Artificial Intelligence is a key component of artificially intelligent systems that aim to explain the classification results. The classification results explanation is essential for automatic disease diagnosis in healthcare. T…
View article: Two phase feature-ranking for new soil dataset for Coxiella burnetii persistence and classification using machine learning models
Two phase feature-ranking for new soil dataset for Coxiella burnetii persistence and classification using machine learning models Open
Coxiella burnetii (Cb) is a hardy, stealth bacterial pathogen lethal for humans and animals. Its tremendous resistance to the environment, ease of propagation, and incredibly low infectious dosage make it an attractive organism for biowarf…
View article: Visual Fall Detection From Activities of Daily Living for Assistive Living
Visual Fall Detection From Activities of Daily Living for Assistive Living Open
Health facilities have increased life expectancy, a key factor for the growth of the elderly population. Elderly people are at increased risk of falls, causing physical and psychological damage. Falls occur rarely compared to other activit…
View article: Progressive Learning in Cross-Modal Cross-Scale Fusion Transformer for Visible-Infrared Video-Based Person Reidentification
Progressive Learning in Cross-Modal Cross-Scale Fusion Transformer for Visible-Infrared Video-Based Person Reidentification Open
View article: Optimizing Cybersecurity in the Oil and Gas Industry with Machine Learning-Based Ids
Optimizing Cybersecurity in the Oil and Gas Industry with Machine Learning-Based Ids Open
View article: STMMOT: Advancing Multi-Object Tracking Through Spatiotemporal Memory Networks and Multi-Scale Attention Pyramids
STMMOT: Advancing Multi-Object Tracking Through Spatiotemporal Memory Networks and Multi-Scale Attention Pyramids Open
View article: Wheat Disease Classification Using Continual Learning
Wheat Disease Classification Using Continual Learning Open
As wheat is one of the major crops worldwide, therefore, accurate disease detection in wheat plants is critical for mitigating effects and halting disease spread. Nowadays, the detection of diseases through images using machine learning an…
View article: Benzothiazole-Based 1,3,4-Thiadiazole Hybrids Derivatives as Effective Inhibitors of Thymidine Phosphorylase and Urease: Synthesis, in Vitro and in Silico Approaches
Benzothiazole-Based 1,3,4-Thiadiazole Hybrids Derivatives as Effective Inhibitors of Thymidine Phosphorylase and Urease: Synthesis, in Vitro and in Silico Approaches Open
View article: Intelligent Intrusion Detection System for Iot Enabled It-Ot Devices
Intelligent Intrusion Detection System for Iot Enabled It-Ot Devices Open
View article: Neural Attention Model for Abstractive Text Summarization Using Linguistic Feature Space
Neural Attention Model for Abstractive Text Summarization Using Linguistic Feature Space Open
Summarization generates a brief and concise summary which portrays the main idea of the source text. There are two forms of summarization: abstractive and extractive. Extractive summarization chooses important sentences from the text to fo…
View article: Collaborative Traffic Signal Automation Using Deep Q-Learning
Collaborative Traffic Signal Automation Using Deep Q-Learning Open
Multi-agent deep reinforcement learning (MDRL) is a popular choice for multi-intersection traffic signal control, generating decentralized cooperative traffic signal strategies in specific traffic networks. Despite its widespread use, curr…
View article: Cmot: A Cross-Modality Transformer for Rgb-D Fusion in Person Re-Identification with Online Learning Capabilities
Cmot: A Cross-Modality Transformer for Rgb-D Fusion in Person Re-Identification with Online Learning Capabilities Open