Tarik A. Rashid
A5065801825- Metaheuristic Optimization Algorithms Research
- Advanced Multi-Objective Optimization Algorithms
- Evolutionary Algorithms and Applications
- Neural Networks and Applications
- Artificial Intelligence in Healthcare
- IoT and Edge/Fog Computing
- COVID-19 diagnosis using AI
- Machine Learning and Data Classification
- Energy Load and Power Forecasting
- Face and Expression Recognition
- Machine Learning and ELM
- Natural Language Processing Techniques
- AI in cancer detection
- Vehicle Routing Optimization Methods
- Stock Market Forecasting Methods
- Text and Document Classification Technologies
- Augmented Reality Applications
- Anomaly Detection Techniques and Applications
- Machine Learning in Healthcare
- Topic Modeling
- Advanced Clustering Algorithms Research
- Online Learning and Analytics
- Imbalanced Data Classification Techniques
- Ship Hydrodynamics and Maneuverability
- Spam and Phishing Detection
University of Kurdistan Hewler
2017-2025
University of Kurdistan
2018-2024
COMSATS University Islamabad
2024
Superior University
2024
University of Petroleum
2023
Northumbria University
2023
University of Human Development
2023
Bridge University
2023
University of Raparin
2023
Sulaimani Polytechnic University
2020-2023
Reducing the burden of death due to infection is an urgent global public health priority. Previous studies have estimated number deaths associated with drug-resistant infections and sepsis found that remain a leading cause globally. Understanding common bacterial pathogens (both susceptible resistant antimicrobials) essential identify greatest threats health. To our knowledge, this first study present comprehensive estimates 33 across 11 major infectious syndromes.
BackgroundHearing loss affects access to spoken language, which can affect cognition and development, negatively social wellbeing. We present updated estimates from the Global Burden of Disease (GBD) study on prevalence hearing in 2019, as well condition's associated disability.MethodsWe did systematic reviews population-representative surveys 1990 2019. fitted nested meta-regression models for severity-specific prevalence, accounting aid coverage, cause, presence tinnitus. also forecasted...
BackgroundUnderstanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development effective prevention and mitigation strategies. We analysed results from Global Burden Diseases, Injuries, Risk Factors Study (GBD) 2019 inform control planning efforts globally.MethodsThe GBD comparative assessment framework was used estimate behavioural, environmental occupational, metabolic factors. A total 82 risk–outcome pairs were included on basis World...
Combating viral hepatitis is part of the UN Sustainable Development Goals (SDGs), and WHO has put forth B elimination targets in its Global Health Sector Strategy on Viral Hepatitis (WHO-GHSS) Interim Guidance for Country Validation Elimination (WHO Guidance). We estimated global, regional, national prevalence virus (HBV), as well mortality disability-adjusted life-years (DALYs) due to HBV, Burden Diseases, Injuries, Risk Factors Study (GBD) 2019. This included estimates 194 member states,...
The health risks associated with moderate alcohol consumption continue to be debated. Small amounts of might lower the risk some outcomes but increase others, suggesting that overall depends, in part, on background disease rates, which vary by region, age, sex, and year.
Anaemia is a major health problem worldwide. Global estimates of anaemia burden are crucial for developing appropriate interventions to meet current international targets disease mitigation. We describe the prevalence, years lived with disability, and trends its underlying causes in 204 countries territories.We estimated population-level distributions haemoglobin concentration by age sex each location from 1990 2021. then calculated severity associated disability (YLDs). With data on...
<h2>Summary</h2><h3>Background</h3> Measuring routine childhood vaccination is crucial to inform global vaccine policies and programme implementation, track progress towards targets set by the Global Vaccine Action Plan (GVAP) Immunization Agenda 2030. Robust estimates of coverage are needed identify past successes persistent vulnerabilities. Drawing from Burden Diseases, Injuries, Risk Factors Study (GBD) 2020, Release 1, we did a systematic analysis global, regional, national trends using...
<h2>Summary</h2><h3>Background</h3> The COVID-19 pandemic highlighted gaps in health surveillance systems, disease prevention, and treatment globally. Among the many factors that might have led to these is issue of financing national especially low-income middle-income countries (LMICs), as well a robust global system for preparedness. We aimed provide comparative assessment spending at onset pandemic; characterise amount development assistance preparedness response disbursed first 2 years...
The global burden of lower respiratory infections (LRIs) and corresponding risk factors in children older than 5 years adults has not been studied as comprehensively it younger years. We assessed the trends LRIs across all age groups by sex, for 204 countries territories.
Low-power wide area (LPWA) technologies are strongly recommended as the underlying networks for Internet of Things (IoT) applications. They offer attractive features, including wide-range coverage, long battery life, and low data rates. This paper reviews current trends in this technology, with an emphasis on services it provides challenges faces. The industrial paradigms LPWA implementation presented. Compared other work field, focuses need integration among different recommends appropriate...
Swarm intelligence techniques have been created to respond theoretical and practical global optimization problems. This paper puts forward an enhanced version of the firefly algorithm that corrects acknowledged drawbacks original method, by explicit exploration mechanism a chaotic local search strategy. The resulting augmented approach was theoretically tested on two sets bound-constrained benchmark functions from CEC suites practically validated for automatically selecting optimal dropout...
The fast-growing Internet results in massive amounts of text data. Due to the large volume unstructured format data, extracting relevant information and its analysis becomes very challenging. Text document clustering is a text-mining process that partitions set text-based documents into mutually exclusive clusters such way within same group are similar each other, while from different differ based on content. One biggest challenges partitioning collection data by measuring relevance content...
Abstract The reliable and rapid identification of the COVID-19 has become crucial to prevent spread disease, ease lockdown restrictions reduce pressure on public health infrastructures. Recently, several methods techniques have been proposed detect SARS-CoV-2 virus using different images data. However, this is first study that will explore possibility deep convolutional neural network (CNN) models from electrocardiogram (ECG) trace images. In work, other cardiovascular diseases (CVDs) were...