Search
1411 articles for “productivity improvement”
-
Autonomous Utility Bot with Self Balancing and Obstacle Avoidance
Abstract: Over the last decade, there has been a surge in global interest in two-wheeled self-balancing robot research. The kinematics model of a two-wheeled self-balancing autonomous mobile robot is described in this paper. After the mechatronics system design for the robot is completed, the analysis of the entire kinematics model can be divided into two wheels and a body. The velocity decompositions of the robot wheel and body are then examined. …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 2, 2022 · pp. 18–24 Read article
-
Randomized Latent Vectors for Enhanced Reinforcement Learning Exploration
Abstract: This paper investigates Random Latent Exploration (RLE), a novel reinforcement learning technique that enhances exploration using randomized latent vector conditioning. I evaluate RLE’s performance across various environments, including discrete control tasks (FourRoom), continuous control (IsaacLab), and complex visual domains (Atari games). The core approach augments traditional reward functions with intrinsic rewards, calculated as the dot product between state features and periodically resampled latent vectors. The policy and value networks are …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 19–25 Read article
-
A Critical Review of Gandhaka & Its Shodhan Research Work with Special Emphasis on the 1st Method Following Rasatarangini
Abstract: Background: Ayurveda is an ancient healthcare system that influences many modern treatments. One of its key branches, Rasa Shastra, studies the health benefits of strong minerals and metals like mercury, sulphur, mica, and black bitumen. Among these, sulphur is critical for detoxification, blood purification, and digestion, being the third most common element in the human body after calcium and phosphorus. Before sulphur is used in Ayurvedic medicine, it must be …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 12, Issue 3, 2025 · pp. 1–11 Read article
-
Synthesis of Zinc Oxide Nanoparticles Through Polymeric Precursor Route and their Integration into Functional Nanocomposites
Abstract: A polymer precursor approach for creating zinc oxide (ZnO) nanoparticles with regulated size and shape is described in this work. By stabilising and capping particles, the polymer-assisted pathway efficiently reduces particle agglomeration while facilitating controlled nucleation and growth. The surface shape and dispersion of the produced ZnO nanoparticles were assessed using the scanning electron microscopy (SEM). When compared to traditional synthesis techniques, the addition of polymer greatly enhanced surface homogeneity …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 883–890 Read article
-
BMI and Nutritional Level Classification using Bioelectrical Impedance Analysis
Abstract: AbstractThis paper is based on the study of improve the cutoff point and nutritional classification and status of overweight/obesity based on the EMI. Study was conduct on more than 1000 individual on both genders age between 18 and 60 years. The subjects underwent measurement of weight and height and bioelectrical impedance analysis. Instrumentation for the measurement of bioimpedance is simple, cost effective for mass production and is easy to use. …
Published in Journal of Microelectronics and Solid State Devices · Vol. 6, Issue 3, 2019 · pp. 18–27 Read article
-
An Evaluation of Sentiment Analysis in Online Reviews using FRN Algorithm
Abstract: The internet is rich in directional text (i.e., text containing opinions and emotions). World Wide Web provides volumes of text-based data about consumer preferences, stored in online review websites, web forums, blogs, etc. Sentiment analysis is a technique to classify people’s opinions in product reviews, blogs or social networks and has emerged as a method for mining opinions from such text archives. It uses machine learning methods combined with linguistic …
Published in Journal of Operating Systems Development & Trends · Vol. 1, Issue 1, 2014 · pp. 14–20 Read article
-
The Contribution of A. I. in Pharmaceutical Software
Abstract: The integration of Artificial Intelligence (AI) in pharmaceutical software has significantly transformed drug development, regulatory processes, and clinical management. AI-powered tools are revolutionizing data analysis, predictive modeling, and decision-making, enhancing the efficiency and accuracy of drug discovery and development. This article explores the multifaceted contributions of AI to pharmaceutical software, including its applications in drug screening, personalized medicine, clinical trial optimization, and regulatory compliance. Additionally, we examine how AI is …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 1–10 Read article
-
Multiscale Catalytic Strategies for Sustainable Chemical Production: Integrating Computational Catalysis, Process Technology and Biocatalytic Transformations
Abstract: The transition toward sustainable chemical manufacturing requires catalytic technologies capable of maximizing resource efficiency, minimizing greenhouse gas emissions, and enabling the utilization of renewable feedstocks. Recent advances in computational catalysis, process technology, and biocatalytic transformations have created opportunities for the development of integrated catalytic platforms spanning molecular, reactor, and process scales. Density functional theory (DFT), machine learning-assisted catalyst discovery, and multiscale modeling have accelerated the rational design of heterogeneous, homogeneous, …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 27–35 Read article
-
Heterosis in Plants
Abstract: It refers to hybrid vigor or heterosis; herein, the offspring expressed better traits than one or both parent lines. This most often manifests in crop breeding as increased yield in F1 hybrids compared with their parents. Developing high-yielding hybrid cultivars across a wider range of crops represents an important strategy for addressing future food security. However, conventional hybrid breeding approaches are fraught with significant challenges in many self-pollinating crops, such …
Published in Research & Reviews : Journal of Botany · Vol. 14, Issue 2, 2025 · pp. 21–31 Read article
-
Recent Advances in Hybrid Polymer–Cement Composites: Interfacial Engineering, Self-Curing Mechanisms, and Microstructural Performance
Abstract: The increasing demand for high-performance polymer-modified cementitious composites has stimulated extensive research into hybrid self-curing composite systems with engineered aggregate phases. Self-curing hybrid polymer–cement composite systems, using recycled aggregates, constitute one of the solutions proposed by researchers to overcome problems related to moisture loss during the curing process, shrinkage, cracking, and the limited amount of natural aggregate available. This critical review provides an overview of recent developments concerning the production, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1323–1332 Read article
-
Review on Automatic Irrigation System
Abstract: The Automatic Irrigation System is a contemporary technological innovation aimed at improving water efficiency in farming and landscaping uses. This system guarantees that water reaches plants according to real-time data including soil moisture, weather conditions, and set irrigation schedules by combining sensors, microcontrollers, and automated valves or pumps. The main objective of an automated irrigation system is to increase water efficiency, decrease waste, and boost crop production while limiting human …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 2, 2026 · pp. 25–30 Read article
-
CuO/TiO2 Nanocomposites: Effect of Calcination on Photocatalytic Hydrogen Production
Abstract: Hydrothermally synthesized TiO2 nanorods were subjected to calcination from 350 to 550 °C and tested their catalytic performance for hydrogen (H2) production in aqueous glycerol solution under solar irradiation. High rate of H2 evolution ca.300 µmol.h−1.g−1cat was recorded with TiO2 nanorods calcined at 500 °C. The nanocomposites were prepared by varying Cu-loading 0.1 to 2.0 wt% and activated at 350 or 500 °C. About 25 folds enhancement in H2 production …
Published in Journal of Catalyst & Catalysis · Vol. 1, Issue 2, 2014 · pp. 13–20 Read article
-
Characterization of Ber (Ziziphus mauritiana) Genotypes
Abstract: The deciduous or evergreen trees and shrubs belonging to the genus Ziziphus with more than 100 species, disseminated in the tropical and subtropical regions of the world deals sufficient plants genetic resources appropriate for arid and semi-arid climates to enrich food security. Among some of the species, like Z. mauritiana occur in closely every continent and is thought to have great genetic diversity. In China and India, the outdated selection …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 8, Issue 1, 2019 · pp. 11–23 Read article
-
Wound Healing Potential of Medicinal Plants: A Review
Abstract: Wound healing is an integrated cellular and biochemical process of restoring normal structure functions of damaged tissue. Healing is a natural phenomenon by which body itself overcome the damaged to the tissue, but the rate of healing is very slow and chance of microbial infection is high. Improvement in healing process can be accomplished either by shortening the time required for healing or to minimize the undesired consequences. India has …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 4, Issue 2, 2017 · pp. 17–40 Read article
-
Calculation Improvement of the Clay Content in the Hydrocarbon Formation Rocks
Abstract: Natural radioactivity of reservoir rocks of oil and gas in East Baghdad field is due to not only their content of clay material, but also the existence of uranium located in the skeleton of rocks. In connection with this, for the shale content determination of reservoir rocks, it is necessary to exclude the uranium contribution from the overall intensity of the gamma radiation. The paper presents the results of a …
Published in Journal of Petroleum Engineering & Technology · Vol. 7, Issue 1, 2017 · pp. 1–3 Read article
-
Historical Development and Potentiality of LED-fluorimeter
Abstract: Pulsed LED-fluorimetry is a highly sensitive, versatile, and well-documented field technique for the direct determination of uranium in water samples at the μgL-1 levels. Pulsed LED-fluorimetry has been utilized to assess uranium in a variety of matrices, including mineralized rocks, ores, beneficiation products, and other matrices, without the need for any kind of separation method. Using the high sensitivity of pulsed LED-fluorimetry, interferences from related and auxiliary elements are removed …
Published in Research & Reviews : Journal of Physics · Vol. 13, Issue 1, 2024 · pp. 14–21 Read article
-
An Overview of New Coastal Research Vessel (N-CRV) Dry Dock and Construction
Abstract: A New Coastal Research Vessel (N-CRV) is a specialized ship designed for scientific research in fields like oceanography, geology, biology, and atmospheric studies, equipped with specific facilities and accommodations for sea missions. This paper discusses the coastal research ship dry-dock, construction, and design process, which involves three stages: concept, preliminary, and contract design. N-CRV must utilize scientific cruise, Exclusive Economic Zone (EEZ) survey, deployment, data collection, and seawater sample collection …
Published in Journal of Offshore Structure and Technology · Vol. 11, Issue 3, 2024 · pp. 1–11 Read article
-
Investigating the Influence of Changing Climate Patterns on Seasonal Water Availability Within Transboundary River Systems
Abstract: Climate change is significantly altering hydrological systems, particularly in transboundary river basins, which are crucial for regional economies, ecosystems, and human well-being. Variations in precipitation patterns, temperature fluctuations, and altered snowmelt are increasing the unpredictability of seasonal water availability, intensifying risks of both water scarcity and flooding. These shifts pose severe challenges to water management, often leading to disputes and complicating regional cooperation among riparian nations. This study investigates the …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 6–10 Read article
-
Development of a Generative AI Model for Early Detection and Prevention of Electrical Faults in Thermal Power Plants
Abstract: Electrical faults in thermal power plants can lead to severe equipment damage, production downtime, and safety hazards if not detected in advance. This study presents the development of a Generative Artificial Intelligence (GenAI) model for the early detection and prevention of electrical faults using predictive analytics. The proposed framework integrates Generative Adversarial Networks (GANs) with deep learning (CNN) and machine learning algorithms (Random Forest, Logistic Regression) to enhance data diversity, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 45–54 Read article
-
Trust Based Deep Learning Model for Women Information Security Improvement in LBS
Abstract: The pervasiveness of mobile devices equipped with positioning proficiencies has managed to the emergence of frequent location-based applications and services. A huge fraction of the information sought is related to the current women position. This comprises queries for nearby medical services, specialized stores, social activities and groups, and others. In general, location-based service (LBS) operators are expected to be trusted parties that preserve the user’s privacy. Due to the sensitive …
Published in Journal Of Network security · Vol. 7, Issue 1, 2019 · pp. 18–23 Read article