A5050513983- Lung Cancer Treatments and Mutations
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Advanced Image and Video Retrieval Techniques
- Computational Drug Discovery Methods
- Cancer therapeutics and mechanisms
- Dental Radiography and Imaging
- Image Retrieval and Classification Techniques
- AI in cancer detection
- Crystallization and Solubility Studies
- Remote-Sensing Image Classification
- X-ray Diffraction in Crystallography
- ECG Monitoring and Analysis
- Anomaly Detection Techniques and Applications
- Video Analysis and Summarization
- IoT and Edge/Fog Computing
- Artificial Intelligence in Healthcare and Education
- Infection Control and Ventilation
- COVID-19 Pandemic Impacts
- Brain Tumor Detection and Classification
- Image Processing Techniques and Applications
- Machine Learning in Bioinformatics
- Topic Modeling
- Energy Load and Power Forecasting
- Medical Imaging Techniques and Applications
COMSATS University Islamabad
2017-2025
Scripps MD Anderson Cancer Center
2023-2025
University of Central Florida
2024-2025
Chinese Academy of Sciences
2024
The University of Texas MD Anderson Cancer Center
2022-2024
Najran University
2024
National University of Computer and Emerging Sciences
2021-2024
Namal College
2023-2024
Hamad bin Khalifa University
2022-2023
City University of Hong Kong
2019-2023
<p>Within the vast expanse of computerized language processing, a revolutionary entity known as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to comprehend intricate linguistic patterns and conjure coherent contextually fitting responses. models are type artificial intelligence (AI) that have emerged powerful tools for wide range tasks, including natural processing (NLP), machine translation, question-answering. This survey paper provides...
<p>Within the vast expanse of computerized language processing, a revolutionary entity known as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to comprehend intricate linguistic patterns and conjure coherent contextually fitting responses. models are type artificial intelligence (AI) that have emerged powerful tools for wide range tasks, including natural processing (NLP), machine translation, question-answering. This survey paper provides...
Only around 20-30% of patients with non-small-cell lung cancer (NCSLC) have durable benefit from immune-checkpoint inhibitors. Although tissue-based biomarkers (eg, PD-L1) are limited by suboptimal performance, tissue availability, and tumour heterogeneity, radiographic images might holistically capture the underlying biology. We aimed to investigate application deep learning on chest CT scans derive an imaging signature response immune checkpoint inhibitors evaluate its added value in...
YOLO (You Only Look Once) is an extensively utilized object detection algorithm that has found applications in various medical tasks. This been accompanied by the emergence of numerous novel variants recent years, such as YOLOv7 and YOLOv8. study encompasses a systematic exploration PubMed database to identify peer-reviewed articles published between 2018 2023. The search procedure 124 relevant studies employed for diverse tasks including lesion detection, skin classification, retinal...
Abstract Aim To determine the resistance of microorganisms associated with refractory endodontic infections to sodium hypochlorite used as a root canal irrigant. Methodology Two strains each Actinomyces naeslundii , Candida albicans and Enterococcus faecalis were tested late logarithmic phase inocula, against adjusted 0.5, 1.0, 2.5 5.25% w/v. Contact times 0, 10, 20, 30, 60 120 s. In case E. additional experiments contact 2.0, 5.0, 10.0 30.0 min. Anti‐microbial action was halted by...
The use of Internet things (IoT)-based physical sensors to perceive the environment is a prevalent and global approach. However, one major problem reliability sensors’ nodes, which creates difficulty in real-time system identify whether sensor transmitting correct values or malfunctioning due external disturbances affecting system, such as noise. In this paper, Long Short-Term Memory (LSTM)-based neural networks proposed an alternate approach address problem. solution tested for smart...
<p>Within the vast expanse of computerized language processing, a revolutionary entity known as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to comprehend intricate linguistic patterns and conjure coherent contextually fitting responses. models are type artificial intelligence (AI) that have emerged powerful tools for wide range tasks, including natural processing (NLP), machine translation, question-answering. This survey paper provides...
Imaging spectroscopy integrates traditional computer vision and into a single system has gained widespread acceptance as non-destructive scientific instrument for wide range of applications. The current state imaging spans diverse applications including but not limited to air-borne ground-based systems. This paper presents the research industrial precision agriculture, material classification, medical science, forensic face recognition document image analysis, environment monitoring, remote...
Within the vast expanse of computerized language processing, a revolutionary entity known as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to comprehend intricate linguistic patterns and conjure coherent contextually fitting responses. LLMs are type artificial intelligence (AI) that have emerged powerful tools for wide range tasks, including natural processing (NLP), machine translation, vision applications, question-answering. This survey provides...
Recently attention-based networks have been successful for image restoration tasks. However, existing methods are either computationally expensive or limited receptive fields, adding constraints to the model. They also less resilient in spatial and contextual aspects lack pixel-to-pixel correspondence, which may degrade feature representations. In this paper, we propose a novel efficient architecture Single Stage Adaptive Multi-Attention Network (SSAMAN) tasks, particularly denoising...
This review systematically examines the progression of You Only Look Once (YOLO) object detection algorithms from YOLOv1 to recently unveiled YOLOv10. Employing a reverse chronological analysis, this study advancements introduced by YOLO algorithms, beginning with YOLOv10 and progressing through YOLOv9, YOLOv8, subsequent versions explore each version's contributions enhancing speed, accuracy, computational efficiency in real-time detection. The highlights transformative impact across five...
Abstract Lung cancers with a mutated epidermal growth factor receptor (EGFR) are major contributor to cancer fatalities globally. Targeted tyrosine kinase inhibitors (TKIs) have been developed against EGFR and show encouraging results for survival rate quality of life. However, drug resistance may affect treatment plans efficacy be lost after about year. Predicting the response EGFR-TKIs EGFR-mutated lung patients is key research area. In this study, we propose personalized prediction model...
<p>A systematic Review of YOLO for medical Object Detection (2018 - 2023)</p>
<p>Within the vast expanse of computerized language processing, a revolutionary entity known as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to comprehend intricate linguistic patterns and conjure coherent contextually fitting responses. models are type artificial intelligence (AI) that have emerged powerful tools for wide range tasks, including natural processing (NLP), machine translation, question-answering. This survey paper provides...
COVID-19 has taken a huge toll on our lives over the last 3 years. Global initiatives put forward by all stakeholders are still in place to combat this pandemic and help us learn lessons for future ones. While vaccine rollout was not able curb spread of disease strains, research community is trying develop effective therapeutics COVID-19. Although Paxlovid remdesivir have been approved FDA against COVID-19, they free side effects. Therefore, search therapeutic solution with high efficacy...
In the context of Enhanced Remote Area Communications (ERAC), Radio over Fiber (RoF) technology plays a crucial role in extending reliable connectivity to underserved and remote areas. This paper explores significance fifth-generation (5G) Digital Predistortion (DPD) mitigating non-linearities systems for enhancing communication capabilities regions. The seamless integration RoF 5G technologies requires robust linearization techniques ensure high-quality signal transmission. this paper, we...