A5013822946- Brain Tumor Detection and Classification
- Essential Oils and Antimicrobial Activity
- Artificial Intelligence in Healthcare
- Phytochemicals and Medicinal Plants
- Handwritten Text Recognition Techniques
- Smart Agriculture and AI
- Ethnobotanical and Medicinal Plants Studies
- ECG Monitoring and Analysis
- Advanced Neural Network Applications
- AI in cancer detection
- Medicinal Plants and Neuroprotection
- Retinal Imaging and Analysis
- Fungal Biology and Applications
- Autonomous Vehicle Technology and Safety
- Retinopathy of Prematurity Studies
- Date Palm Research Studies
- Sports injuries and prevention
- Healthcare professionals’ stress and burnout
- Advanced Image and Video Retrieval Techniques
- Phonocardiography and Auscultation Techniques
- Herbal Medicine Research Studies
- COVID-19 diagnosis using AI
- IoT and GPS-based Vehicle Safety Systems
- Food Science and Nutritional Studies
- Botanical Research and Chemistry
Rangamati Science and Technology University
2023-2024
University of Science and Technology Chittagong
2019-2021
North South University
2021
Chittagong University of Engineering & Technology
2019-2020
Automation in every part of life has become a frequent situation because the rapid advancement technology, mostly driven by AI and helped facilitate improved decision‐making. Machine learning deep subset provide machines with capacity to make judgments on their own through continuous process from vast amounts data. To decrease human mistakes while making critical choices improve knowledge game, AI‐based technologies are now being implemented numerous sports, including cricket, football,...
Cardiovascular diseases (CVDs), which include heart disorders, are the most prevalent and significant causes of death worldwide, including Bangladesh. Blood artery problems, rhythm issues, chest pain, attacks, strokes, erratic blood pressure a few these. In Bangladesh, cardiovascular disease is main factor in both male female fatalities. More than 80% CVD deaths caused by predominant causes. To be able to examine effectiveness various models, this research article explains underlying methods...
The classification and identification of arrhythmias using ECG signals hold substantial practical importance in the early prevention detection cardiac/cardiovascular disorders. Traditional interpretation, relying on human clinical judgment, is susceptible to errors due fatigue. Our method harnesses power two-dimensional convolutional neural networks (2D-CNNs) transfer learning techniques, such as ResNet50, VGG16, VGG19, analyze both 2D image representations one-dimensional heartbeat signal...
This study focuses on the development of an obstacle avoidance robot controlled by ultrasonic sensor. The utilizes robotics and artificial intelligence techniques to improve enhance safety in various scenarios, particularly context road accidents. system incorporates Arduino microcontroller sensors that detect obstacles within robot's path. By processing sensor data, employs algorithms predict presence real-time. is strategically positioned at front robotic vehicle, continuously gathering...
Background: Hypertension (HTN) is a major public health problem in developed and developing countries. This associated with oxidative stress also common cause of Cardiovascular Disease (CVD) amounting to 30% worldwide death rate. The main objective this study was find out the proportion hypertension among doctors working Rajshahi Medical College Hospital. Materials methods: A cross-sectional type descriptive conducted Physiology Department collaboration Biochemistry College, during period...
Plant diseases pose a significant threat to global food security by limiting access safe and abundant sources while impacting agricultural productivity safety. To address this challenge, innovative disease detection techniques are crucial. This paper presents novel approach tomato leaf grounded in deep transfer learning. We employ convolutional neural networks (CNNs) recognize categorize diseases, leveraging pre-trained models such as EfficientNetB3, Xception, MobileNetV2. Our experimental...
The human skeletal framework relies heavily on bones, and one such crucial component is the "Humerus." Positioned in upper arm, extending from shoulder to elbow junction, Humerus provides essential structural support for muscles facilitates upper-body movement, particularly arms hands. Consequently, fractures significantly impact daily life, causing disruptions limitations. This paper presents a thorough exploration of an Explainable AI-based Fracture Detection Classification system,...
This research was designed to evaluate the CNS depressant, anxiolytic, and analgesic action of aqueous ethanol extract Ganoderma applanatum, a valuable medicinal fungus used in multiple disorders belongs Ganodermataceae family. Two extracts G. applanatum were prepared using distilled water as solvents named AEGA EEGA. Open field method, rotarod tail suspension hole cross method utilized for depressant action. In contrast, elevated plus-maze test board anxiolytic For determining potential,...
Abstract This study was undertaken to evaluate the antidiabetic, hypolipidemic, and hepatoprotective effects of methanol aqueous extracts Ganoderma applanatum (MEGA, AEGA) in alloxan‐induced diabetic rats. The antidiabetic implemented by induction alloxan analysis hypolipidemic liver‐protective fungus studied estimating lipid profile liver marker enzymes. Besides, silico screening compounds has been incorporated thus check binding affinity enzymes affinity. Discovery Studio 2020, UCSF...
With the increasing use of embedded devices in our daily life, security threats have also been a proportional rate. However, ensuring systems has become great challenge not only for device experts but manufacturers. The problem especially arises because limited hardware and software implementation options designers. At same time, companies are trying to keep vulnerabilities operating system those secret they relieving any necessary updates quickly. It very urgent ensure proper save it from...
Background: Nutritional status is a unique technique for assessment of consumption and utilization nutrients. Malnutrition affects several aspects physiology the body it responsible imbalance serum estrogen level in women. Methods: This cross-sectional type descriptive study was carried out Department Physiology Rajshahi Medical College, over period 12 months from July 2021 to June 2022 among adult females aged 18 40 years city. Pre-designed, validated, structured questionnaire used gather...
Background and Objective: Tinospora cordifolia (Willd.)Hook.f. is employed in Ayurvedic system of medicine for the treatment diabetes, jaundice, rheumatoid arthritis, metabolic disorders likewise utilized as memory enhancer.In this study it tend to analyze vivo sedative anxiety potential mice T. stems extracted methanol.Materials Methods: The crude extract was evaluated its central nervous depressant effect using rodent behavioral models; such ʻHole cross testʼ ʻOpen field properties an...