A5066353276- Advanced Text Analysis Techniques
- Vehicular Ad Hoc Networks (VANETs)
- Video Surveillance and Tracking Methods
- Mental Health Research Topics
- Autonomous Vehicle Technology and Safety
- Optical Network Technologies
- Mental Health via Writing
- Opportunistic and Delay-Tolerant Networks
- Sentiment Analysis and Opinion Mining
- Vehicle License Plate Recognition
- Brain Tumor Detection and Classification
- Forecasting Techniques and Applications
- Advanced Optical Network Technologies
- Stock Market Forecasting Methods
- Spam and Phishing Detection
- Handwritten Text Recognition Techniques
- Machine Learning and ELM
- Smart Parking Systems Research
- Internet Traffic Analysis and Secure E-voting
- Interconnection Networks and Systems
- Network Security and Intrusion Detection
- Advanced Neural Network Applications
- Topic Modeling
- Digital Mental Health Interventions
COMSATS University Islamabad
2018-2024
Abbottabad University of Science and Technology
2023
A network aggregated of wirelessly connected vehicles is recognized as vehicular ad hoc networks (VANETs). Clustering in a technique among many others, which targets to improve communication proficiency VANETs. In each cluster, there one cluster head (CH) used manage the whole cluster. All communications are accomplished by CHs, i.e., inter-cluster and intra-cluster communications. The efficiency measured number load on CH lifetime clusters. this paper, novel Algorithm centered Moth-Flame...
License plate recognition (LPR) is an integral part of the current intelligent systems that are developed to locate and identify various objects. Unfortunately, LPR a challenging task due factors, such as numerous shapes designs LPs, non-following standard LP templates, irregular outlines, angle variations, occlusion. These factors drastically influence appearance significantly challenge detection abilities state-of-the-art algorithms. However, recent rising trends in development machine...
Brain tumors represent a severe and often life-threatening condition in adults, as the rapid multiplication of cancerous cells within tumor can critically impair patient's normal functioning. The clinical practice commonly utilizes imaging modalities such MRI, PET CT scans to assess brain tumor's size, type, location. purpose this research is create computer aided diagnosis (CAD) system that segment categorize automatically. designed work specifically with T1W-CE Magnetic Resonance Images...
Many precious lives are lost world-wide due to road accidents. To counter this issue, the ultimate solution is Vehicular ad hoc networks (VANETs). Due high mobility of vehicles and varying network topology in VANETs, efficient communication among vehicular nodes extreme importance. enhance proficiency clustering a renowned procedure. Therefore, algorithm based on Moth-Flame Optimization (MFO), titled AMONET, projected which can effectively work scenario VANETs. AMONET bio inspired procedure...
Automatic polarity prediction is a challenging assessment issue. Even though critical topic with many existing applications, it probably not an easy challenge and faces several difficulties in natural language processing (NLP). Public polling data can give useful information, or classification of comments on Twitter Facebook may be effective approach for gaining better understanding user sentiments. Text embedding techniques models related to the artificial intelligence field sub-fields...
In the present era of common email use, constant challenge distinguishing between emails that are genuine and spam necessitates adoption complex approaches. This study evaluates a Random Forest Naive Bayes ensemble's performance in handling difficult problem classification by using voting classifier. The research uses important preprocessing techniques, such as feature selection data integrity checks addition to machine learning models, ensure validity analysis real data. Training evaluating...
Accurately predicting future trends in stock market is essential for investors because it increases the chances of a successful investment market. However, making precise predictions challenging due to volatility and influence external factors from news social media. Although various machine deep learning techniques have been used predict markets, none them evaluated short medium-term forecasting. Therefore, we propose time series prediction method called Long Short-Term Memory (LSTM)...
Depression detection and management is an important research field nowadays. In this work, Cognitive Therapy Routine Recommendation System (CTRRS) proposed. It automates the process of detecting depression provides personalized mental health recommendations using a Random Forest model for healthcare activities Long Short-Term Memory (LSTM) sentiment analysis. The LSTM architecture includes dense layers, bidirectional embedding with term frequency-inverse document frequency (TF-IDF)...
Summary An architecture which promised very low computational complexity for optical interconnects in DCN was previously proposed, the (VLCC) architecture. In this article, we present enhancement over VLCC called interconnect with queueing (VLCC‐Q) represents M/D/64 output queue. Contention occurs at destination if source nodes access same node exceeds 64. The performance analysis is carried out through mathematical analysis, TCP simulation NS2 and eye diagram of signal. gives theoretical...