A5081221633- EEG and Brain-Computer Interfaces
- Muscle activation and electromyography studies
- Handwritten Text Recognition Techniques
- Neuroscience and Neural Engineering
- Human Pose and Action Recognition
- ECG Monitoring and Analysis
- Vehicle License Plate Recognition
- Magnetic Bearings and Levitation Dynamics
- Gait Recognition and Analysis
- Sleep and Work-Related Fatigue
- Image Processing and 3D Reconstruction
- Artificial Intelligence in Healthcare
- Video Surveillance and Tracking Methods
- IoT-based Smart Home Systems
- Text and Document Classification Technologies
- Face and Expression Recognition
- Gaze Tracking and Assistive Technology
- Neonatal and fetal brain pathology
- Natural Language Processing Techniques
- Hand Gesture Recognition Systems
- Face recognition and analysis
- Nerve Injury and Rehabilitation
- IoT and Edge/Fog Computing
- Spacecraft Design and Technology
- Motor Control and Adaptation
University of Malakand
2019-2025
Kunming University of Science and Technology
2024
National University of Science and Technology
2018
National University of Computer and Emerging Sciences
2010-2017
Polytechnic University of Turin
2013-2015
Myongji University
2009
In this paper a low cost and user friendly remote controlled home automation system is presented using Arduino board, Bluetooth module, smartphone, ultrasonic sensor moisture sensor. A smartphone application used in the suggested which allows users to control up 18 devices including appliances sensors technology. Nowadays, most of conventional systems are designed for special purposes while proposed general purpose system. Which can easily be implement existing home. The has more features...
Accuracy is the vital indicator in location estimation used many scenarios, such as warehousing, tracking, monitoring, security surveillance, etc., a wireless sensor network (WSN). The conventional range-free DV-Hop algorithm uses hop distance to estimate node positions but has limitations terms of accuracy. To address issues low accuracy and high energy consumption DV-Hop-based localization static WSNs, this paper proposes an enhanced for efficient accurate with reduced consumption....
Cardiovascular disease (CVD) is a prevalent and serious condition causing significant global mortality rate. According to the World Health Organization (WHO), in 2022, CVD claimed lives of approximately 19.1 million people, accounting for 33% fatalities. ECG widely used automatic detection using traditional machine learning; however, it usually difficult select optimal features. Addressing this issue, scalable learning-based architecture proposed early based feature selection. This aims...
Driver's stress detection is a critical research area that helps reduce the likelihood of traffic accidents and driver's health complexities due to prolonged stress. Previous work in this heavily based on traditional machine learning models classify levels using handcrafted features extraction techniques. Extracting best these approaches always challenging task. Recently, deep techniques have emerged for constructing reliable automatically classifying classes with high accuracy. However,...
Document Image Analysis (DIA) is one of the research areas Artificial Intelligence (AI) that converts document images into machine-readable codes. In DIA systems, Optical Character Recognition (OCR) plays a key role in digitizing images. The output an OCR system further used many applications including, Natural Language Processing (NLP), Sentiment Analysis, Speech Recognition, and Translation Services. However, standard datasets are essential requirement for development, evaluation...
Malnutrition is a prevalent issue among critically ill patients in Intensive Care Units (ICUs), significantly impacting morbidity, mortality, and healthcare costs. Objective: To assess the prevalence severity of malnutrition admitted to Unit (ICU) government tertiary care hospital Swat. Methods: This cross-sectional study was conducted at Swat ICU patients. A sample 80 selected using non-probability convenience sampling technique, data were collected Modified Nutrition Risk Critically Ill...
The gallbladder stones, also known as cholelithiasis, are a common medical condition that affects individuals worldwide. Gallbladder stones forms when substances within the bile, such cholesterol, bile salts, and calcium, crystallize solidify into particles. These can range in size from tiny grains to larger may obstruct ducts. This study aimed investigate prevalence, etiology, consequences of among patients District Abbottabad, Khyber Pakhtunkhwa, Pakistan. A cross-sectional design was...
Parkinson’s disease (PD) Dysgraphia is a disorder that affects most PD patients and characterized by handwriting anomalies caused mostly motor dysfunctions. Several effective ways to quantify dysgraphia analysis have been used, including online processing. In this research, an integrated approach, using combination of convolutional neural network (CNN) long short-term memory (LSTM) layers along with Random Forest (RF) classifier, proposed for classification. The approach uses uniform normal...
According to the world health organization (WHO), stroke stands as a significant contributor mortality and adult disability, causing motor function impairment, paralysis, intense back pain. In aiding patients' mobility recovery, physiotherapists employ diverse therapeutic techniques. This research introduces an automated method for identifying distinct exercises performed by patients during their rehabilitation process. For detecting exercises, leveraging pre-trained neural networks like...
Numerous researchers have investigated the relationship between EMG and joint torque. Most of these studies use some conventional filtering (i.e. rectification followed by low pass filtering) to estimate electromyogram (EMG) amplitude then relate it Currently advanced pre-processing techniques signal whitening) are also used In this study we apply like DC offset removal, noise calculate moving average signal. Thus get a linear envelope (muscle activation) that To map torque propose new...
Mental stress is known as a prime factor in road crashes. The devastation of these crashes often results damage to humans, vehicles, and infrastructure. Likewise, persistent mental could lead the development mental, cardiovascular, abdominal disorders. Preceding research this domain mostly focuses on feature engineering conventional machine learning approaches. These approaches recognize different levels based handcrafted features extracted from various modalities including physiological,...
As the use of biomedical signals is incredibly increasing in both clinical and nonclinical applications. They have a great deal development devices that can be controlled by information inferred from thoughts. One current hot topics for research Brain Computer Interface (BCI) on basis EEG signals. BCI technology makes humans to control computer or other BCIs given new hopes people who suffer locked-in syndrome motor disabilities providing alternative means communication channels. The...
Electromyogram (EMG) recordings are often corrupted by power line interference (PLI) even though the skin is prepared and well-designed instruments used. This study focuses on analysis of some recent classical existing digital signal processing approaches have been used to attenuate, if not eliminate, from EMG signals. A comparison ratio (SIR) output signals presented, for four methods: notch filter, spectral interpolation, adaptive noise canceller with phase locked loop (ANC-PLL) applied...
There are several infections and diseases that can affect plants. Diagnosis of plant is a challenging task. A fascinating method for identifying computer-based diagnosis using digital images plant's leaves. Most the earlier research in this field has been devoted to feature engineering traditional machine learning (ML) techniques. Based on hand-crafted features taken from photographs leaves, these methods identify various diseases. It be use extract high-quality images. Deep (DL) algorithms,...
Gait-based gender classification is a challenging task since people may walk in different directions with varying speed, gait style, and occluded joints. The majority of research studies the literature focused on gender-specific joints, while there less attention comparison all body's To consider it essential to determine person's based their using Kinect sensor. This paper proposes logistic-regression-based machine learning model whole body joints for classification. proposed method...
This study provides thorough computational and experimental assessments of four types novel synthesized thiosemicarbazones. The compounds were effectively using a condensation reaction between thiosemicarbazide fluorenone, producing remarkable range 70–88%. Additional chemical structures examined utilizing spectroscopic methods, including Fourier-transform infrared spectroscopy (FTIR), NMR spectroscopy, ultraviolet-visible spectroscopy. analyses utilized DFT the M06/6-311G (d, p) technique....