- Robotic Path Planning Algorithms
- UAV Applications and Optimization
- Distributed Control Multi-Agent Systems
- Gene expression and cancer classification
- Knee injuries and reconstruction techniques
- Drug-Induced Adverse Reactions
- Caching and Content Delivery
- Nausea and vomiting management
- Psoriasis: Treatment and Pathogenesis
- Plant Physiology and Cultivation Studies
- Tendon Structure and Treatment
- Pediatric Pain Management Techniques
- Anesthesia and Pain Management
- Scientific Computing and Data Management
- Shoulder Injury and Treatment
- Flowering Plant Growth and Cultivation
- Speech and Audio Processing
- Adversarial Robustness in Machine Learning
- Olfactory and Sensory Function Studies
- Visual Attention and Saliency Detection
- Dialysis and Renal Disease Management
- Speech Recognition and Synthesis
- Advanced Neural Network Applications
- Bioinformatics and Genomic Networks
- Anomaly Detection Techniques and Applications
Dow University of Health Sciences
2023
Kyung Hee University
2022-2023
University of Azad Jammu and Kashmir
2022-2023
Allama Iqbal Medical College
2018
University of the Punjab
2018
National University of Sciences and Technology
2016
Generative AI has demonstrated impressive performance in various fields, among which speech synthesis is an interesting direction. With the diffusion model as most popular generative model, numerous works have attempted two active tasks: text to and enhancement. This work conducts a survey on audio complementary existing surveys that either lack recent progress of diffusion-based or highlight overall picture applying multiple fields. Specifically, this first briefly introduces background...
Diffusion models have become a new SOTA generative modeling method in various fields, for which there are multiple survey works that provide an overall survey. With the number of articles on diffusion increasing exponentially past few years, is need surveys specific fields. In this work, we committed to conducting graph models. Even though our focus cover progress graphs, first briefly summarize how other methods used graphs. After that, introduce mechanism forms, facilitates discussion The...
Meta AI Research has recently released SAM (Segment Anything Model) which is trained on a large segmentation dataset of over 1 billion masks. As foundation model in the field computer vision, gained attention for its impressive performance generic object segmentation. Despite strong capability wide range zero-shot transfer tasks, it remains unknown whether can detect things challenging setups like transparent objects. In this work, we perform an empirical evaluation two glass-related...
Introduction: Knee osteoarthritis (KOA) is a progressive joint disease commonly treated with intra-articular injections, including platelet-rich plasma (PRP), hyaluronic acid (HA), or corticosteroids (CS). This updated meta-analysis aims to enhance the statistical power of results and provide comprehensive clinical evidence that reflects most current research. By doing so, authors aim suggest reliable estimate for development guidelines, addressing pressing need effective minimally invasive...
Mixed Sample Data Augmentation (MSDA) enhances deep learning model generalization by blending a source patch into target image. Selecting patches based on image saliency helps to prevent label errors and irrelevant content; however, it relies computationally expensive detection algorithms. Studies suggest that convolutional neural network’s receptive field follows Gaussian distribution, with central pixels being more influential. Leveraging this, we propose GaussianMix, an effective...
Swarm intelligence has been applied to replicate numerous natural processes and relatively simple species achieve excellent performance in a variety of disciplines. An autonomous approach employing deep reinforcement learning is presented this study for swarm navigation. In approach, complex 3D environments with static dynamic obstacles resistive forces such as linear drag, angular gravity are modeled track multiple targets. regard, novel island policy optimization model introduced tackle...
Swarm intelligence is the behavior exhibited by a group of organisms performing simple actions in unison which leads to complex global behavior. This learnt promotes formation artificial swarm systems for accomplishing tasks and this paper, drones used accomplish multiple related environment navigation, obstacle avoidance single-target tracking. In past, manual formulation has been attempted. The swarms usually have be flexible entities that need adapt changing environments but manually...
Autonomous modeling of artificial swarms is necessary because manual creation a time intensive and complicated procedure which makes it impractical. An autonomous approach employing deep reinforcement learning presented in this study for swarm navigation. In approach, complex 3D environments with static dynamic obstacles resistive forces (like linear drag, angular gravity) are modeled to track multiple targets. Moreover, reward functions robust formation target tracking devised behaviors....
Gladiolus is an important cut flower in the world, and its preference Pakistan next to roses. But main problem that occurs gladiolus it has short vase life. The present experiment was conducted with objective investigate effect of four preservative solutions [distilled water, Sucrose (3%), AgNO3 (250 ppm), ppm) + (3%)] packaging material on postharvest quality three varieties, “Tissue, White Prosperity Alexandra”. Packaging consists control treatment (without packaging), spikes 100 ppm...
Substantial research has been done in saliency modeling to make intelligent machines that can perceive and interpret their surroundings focus only on the salient regions a visual scene. But existing spatio-temporal models either treat videos as merely image sequences excluding any audio information or are unable cope with inherently varying content. Based hypothesis an audiovisual model will perform better than traditional models, this work aims provide generic preliminary audio/video model....
Madam, Methotrexate (MTX) is an antimetabolite (formerly known as amethopterin) proven t effective in managing autoimmune diseases by suppressing the hyperactive immune response, reducing inflammation, and alleviating associated symptoms. In case of psoriasis, a chronic skin disorder characterized red, scaly patches on skin, MTX among available treatment options. It beneficial for moderate to severe psoriasis that does not respond adequately other treatments severity extent lesions,...
Madam, Pain is a subjective and multifaceted issue in the ER that presents both acute chronic versions. Patients often present with complaints of pain are assessed by physicians hospital staff immediately for pain-relief medication. In recent studies it was proved have an emerging high prevalence. study comprising 1665 patients, 61.2% had mentioned recorded on chart, 34.1% did not pain, 4.7% were procedures. The chief complaint 52.2% visits1. most common manner treatment management use...
The kidney plays a vital role in homeostatic function by regulating the salts/water balance body. Renal is compromised due to various factors internal and external conditions such as diabetic nephropathy (8.3%), hypertension (HTN) (42.2%), diabetes (22.9%), drugs, age, immune-related. Dialysis only option for end-stage renal disease (ESRD) beside transplantation. This retrospective study was based on collection of data from profiles patients undergoing dialysis order find variations...
Objective: Diabetes-associated complications can be ruled out and prevented through control of diabetes in relation to risk factors complications.The aim the study was find gender wise correlation complication Diabetes local population.Design: A retrospective carried on diabetic patient 3 major hospitals Lahore. Method:The medical record assessed enrolled patients underwent treatment with insulin, oral anti-diabetic or both.The descriptive statistics/ inferential statistics were applied...