Search
132 articles for “task specific”
-
The Effects of Dual Task Exercise Versus Task Specific Locomotion Training to Improve Walking Ability in Stroke: A Comparative Study
Abstract: Purpose of the study: The main aim of the study is to see whether the Dual-Task exercise versus Task Specific locomotion training improve gait/locomotion in chronic stroke patients. Participants: The study included a total of 30 participants, comprising both males and females, who had chronic stroke. All participants were at least limited community ambulatory individuals with Berg Balance Scale scores ranging from 41 to 56. Interventions: All the subjects were …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 13, Issue 1, 2023 · pp. 13–28 Read article
-
Effectiveness of Task-specific Training with Trunk Restraint on Lower Extremity Recovery in Stroke Patients
Abstract: Background: Stroke is considered as one of the major causes of impairments in activities of daily living. The majority of patients after stroke demonstrate excessive compensatory trunk deviation movement during activities of daily living. This compensatory trunk movement limits recovery of the lower extremity. Task-specific training is an effective intervention to improve recovery of the upper extremity. However, there was not much evidence about the effectiveness of task-specific training with …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 12, Issue 3, 2022 · pp. 43–50 Read article
-
Impact of Occupational Therapy on Fine Motor Skills Development of Cerebral Palsy Children
Abstract: Background:Deficits in fine motor skills typically co-occur with cerebral palsy (CP), a neurological disorder that affects movement and posture. Occupational therapy is crucial for treating cerebral palsy in children and improving their capacity for independent living. This thorough summary identifies areas that require more research and highlights the most recent advancements in cerebral palsy. Aim: The purpose of this review is to investigate the effects of occupational therapy treatments on …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 24–30 Read article
-
Sensor Based Agriculture – An approach Towards Better Agriculture Management
Abstract: Agriculture plays a crucial role in India's economy, and nowadays, it has become more data-driven and advanced. This paper discusses how sensors are being used in agriculture to make it smarter and more precise. Different types of sensors are available for specific tasks in farming, like checking soil conditions, monitoring crop status, managing irrigation, detecting insects, and studying environmental effects. Farmers are benefiting from these sensors throughout the entire crop …
Published in Recent Trends in Sensor Research & Technology · Vol. 10, Issue 2, 2023 · pp. 1–8 Read article
-
A Survey on Genetic Programming in Data Mining Tasks
Abstract: ABSTRACTGenetic programming (GP) is a machine learning technique used to give the optimized solution for the user specified tasks from a population of computer programs based on a fitness function. Genetic programming provides automated and optimized solutions for searching of large, poorly defined search spaces and even with the complexities of high dimensionality, multi-modality and discontinuity with noise. Knowledge discovery is an extremely complex process in the real world databases. …
Published in Journal of Computer Technology & Applications · Vol. 3, Issue 1, 2012 · pp. 9–15 Read article
-
Affordable Automation: Strategies for Cost Reduction and Efficiency Improvement in Daily Robotics
Abstract: The study examined how robotics technologies can increase productivity in industries. As we all know, artificial intelligence (AI) is on the rise in the market, and industries are becoming increasingly reliant on AI to handle multifaceted tasks. Robotics is one of the most prominent fields in manufacturing and science, where engineers are focusing on developing robots that can perform specific tasks and deliver accurate results. As technology progressed, by 2005, …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 1, 2025 · pp. 7–16 Read article
-
Understanding Sentiment Trends Through Zero-Shot and Few-Shot Learning Models
Abstract: The requirement for large, manually labeled datasets is one of the main barriers to applying sentiment analysis algorithms in specialized or rapidly evolving disciplines in the present natural language processing (NLP) landscape. This work investigates a paradigm shift from traditional fully supervised learning to data-efficient methods, specifically zero-shot learning (ZSL) and few-shot learning (FSL). This study uses the advanced capabilities of instruction-tuned large language models (LLMs), like GPT-4, to assess …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 01–08 Read article
-
Evaluation of composite material based on different phases of Face recognition System
Abstract: Composite materials can indeed play a crucial role in various phases of a face recognition system, offering advantages such as lightweight construction, durability, and tailored mechanical properties. Let's explore how composite materials can be utilized in different phases of a face recognition system. A composite material based different phases of Face recognitions System is software that recognizes or verifies a person based on a digital image or a frame from …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 195–204 Read article
-
Exploring Practical Applications of Artificial Neural Networks: A Review
Abstract: Computational models called artificial neural networks (ANNs) are modeled after the structure of the human brain. These models are designed to process information and learn from data. Artificial neural networks, or ANNs, are composed of interconnected artificial neurons layered to resemble the brain's neural network.. Through training, ANNs adjust the connections between neurons based on labeled data, enabling them to recognize patterns and perform specific tasks. Despite their efficacy in …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 2, 2024 · pp. 1–11 Read article
-
Emerging Programming Languages Shaping Technology in 2026
Abstract: As technology keeps changing quickly, it’s more crucial than ever for developers, students, and tech fans to choose the correct programming language. This article talks about the best programming languages to learn in 2026, focusing on their most important features, how they can be used in the real world, and how much demand there will be for them in the job market in the future. Each language is looked at …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 · pp. 24–34 Read article
-
Automated Control of Conveyor Belt in Industries using DTMF and Internet Operation
Abstract: Transportation of raw materials or any goods in industries is the need of the hour. As the technologies are invented and developed, a revolution has been observed in the industries in terms of the production and packaging. The conveyor belt system is reliable, robust and provides satisfactory results to the manufacturer. This system with such a huge and important advantage has a requirement that it needs to be supervised time …
Published in Journal of Control & Instrumentation · Vol. 8, Issue 1, 2017 · pp. 39–44 Read article
-
Wireless Digital Fuel Level Indicator
Abstract: In days gone by the petrol level measurement is done by analog meters. It consists of determining the quantity of petrol in the tank at different levels but not accurately. This paper is aimed to design a system to monitor and display the petrol level by using Ultra sonic sensor and a controller. Two different tanks shapes Square, Cylindrical are chosen for the design and measurement purpose. The controller performs …
Published in Journal of Electronic Design Technology · Vol. 7, Issue 2, 2016 · pp. 41–46 Read article
-
Innovative Design and Fabrication Techniques for an Octawalker: A Comprehensive Study
Abstract: The octawalker is a walking aid that is remote-controlled.We intend to increasesecurity to a new level. In order to benefit our country, we created this initiative using our thoughts. composed of two motors that run on 12 volts DC.DC battery power supply that can be recharged. These checkpoints demand all vehicle traffic to stop. According to Webster, a robot is & an autonomous device that performs functions normally ascribed to …
Published in Journal of Nuclear Engineering & Technology · Vol. 13, Issue 3, 2023 · pp. 30–35 Read article
-
A Comparative Study on Nutritional Assessment and the Health of Toddlers (1–3 year) in Urban and Rural community of Ludhiana, Punjab, India.
Abstract: Toddlerhood is difficult exiting interesting period of life. Developmental milestones are a set of functional skills or age-specific tasks that most children can do at a certain age range. The study sample was 500 toddlers aged 1–3 year was selected, 250 from urban and 250 from almost equal number of male and female toddlers. A modified conceptual frame work of the study was based on the Callista Roy Adaptation Model. …
Published in Journal of Nursing Science & Practice · Vol. 8, Issue 2, 2018 · pp. 6–15 Read article
-
Effect of Conventional Physiotherapy and Modified Constraint Induced Movement Therapy through Play way Method to Improve the Upper Extremity Motor Skills among the Children with Hemi paretic Cerebral Palsy
Abstract: There is a tendency in children with unilateral involvement to use their non-affected hand as the dominant hand, even when the actual functional loss is mild. The potential use of the affected upper extremity of children with hemiparetic CP often fails due to “developmental non-use”, and this leads to increased muscle tone, and decreased active and passive range of motion of the joints of the limb, poor motor control, generalized …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 2, Issue 2, 2013 · pp. 1–9 Read article
-
Quantitative and Qualitative Analysis of Gait in Right and Left Side Stroke Patients
Abstract: To determine the gait pattern in right and left sided stroke patients which will be useful, in diagnosis of gait abnormality, help in correcting the gait pattern for gait re-education and also to prevent deformity. Thirty six subjects [31 male, 5 female] who were affected by stroke were randomly assigned to one of two intervention groups. Group I consist of 18 patients with right side stroke. Group II consist of …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 1, Issue 1-3, 2011 · pp. 21–37 Read article
-
Deep Learning for Earth Observation Using Satellite Imagery: A Comprehensive Review
Abstract: Earth observation (EO) satellites provide continuous, large-scale information about the Earth's land, oceans, atmosphere, vegetation, infrastructure, and environmental conditions. The rapid growth of multispectral, hyperspectral, synthetic aperture radar (SAR), thermal, and high- resolution satellite missions has generated large volumes of heterogeneous spatial and temporal data. Conventional image-processing and machine-learning techniques often require manually designed features and may have difficulty representing the complex spatial, spectral, temporal, and multimodal characteristics of satellite …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 2, 2026 Read article
-
GeoPrompt: A Mobile Applications Reminder System Based on Location
Abstract: In today’s fast-paced environment, maintaining organization and order is more critical than ever. Traditional paper reminders, though useful, often fall short of meeting the efficiency demands of modern life. While mobile phone reminders are commonly used, they are typically time-based and cannot address tasks that require attention at specific locations. To address this gap, we present “GeoPrompt-A Mobile Application Reminder System Based on Location,” a cutting-edge Android app that improves …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 3, 2024 · pp. 21–27 Read article
-
Transfer Learning in Deep Learning Models for Medical Imaging: Utilizing Pretrained Models to Improve Performance in Medical Image Analysis
Abstract: Transfer learning is now a trending technique in deep learning, especially in medical imaging. This technique solves landmark problems by utilizing the pre-trained models, including the limited availability of the annotated medical data and the time-consuming computational costs of training deep learning models from scratch. The generalizability of deep models could increase diagnostic precision for specific medical tasks, require fewer samples to train, and take less time to train due …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 67–85 Read article
-
Performance Analysis of Deep CNN Architectures
Abstract: A Convolutional Neural Network (CNN) is an artificial neural network renowned for its remarkable ability to handle large image datasets effectively, particularly excelling in tasks such as image recognition and classification. The fundamental structure of a CNN relies on mathematical convolution operations, comprising essential components such as convolutional layers, activation functions, pooling layers, and fully connected layers. These components work synergistically to extract and learn hierarchical features from input data, …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article