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1935 articles for “System efficiency” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Adaptive Machine Learning Framework for Navigation Control of Autonomous Drones
Abstract: The rise of autonomous drones has expanded UAV applications across sectors like surveillance, delivery, agriculture, and rescue operations. However, traditional navigation systems face limitations in adapting to dynamic environments. This study proposes an AI-driven adaptive navigation framework that leverages real-time sensor data, reinforcement learning, and adaptive control strategies to enhance drone autonomy, scalability, and security. The system processes mission inputs, environmental data (from LiDAR, cameras, GPS, and weather sensors), and …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 3, 2025 · pp. 1–7 Read article
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Entropy Analysis of Unsteady MHD Bioconvective Nanofluid between Parallel Disks under Squeezing Motion and Multiple Slip Conditions.
Abstract: This research offers valuable insights for improving heat transfer and minimizing entropy generation in engineering systems that involve nanofluids and microorganisms. It investigates the unsteady squeezing bioconvection flow of a nanofluid between two parallel disks, with a focus on entropy generation, flow dynamics, heat transfer, and the concentration of both nanoparticles and microorganisms. The lower disk is stretched horizontally and subjected to suction, while the upper disk moves vertically, creating …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 1, 2025 · pp. 17–40 Read article
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India’s Pioneering Advancements in Vaccinology: Challenges and Milestones – Part 2
Abstract: India has become a global leader in vaccinology, playing a vital role in developing, producing, and distributing vaccines that protect millions of lives. By embracing advances in molecular immunology, recombinant antigen technology, and virus-like particle (VLP) platforms, the country has created affordable vaccines against major diseases, including poliovirus, rotavirus, and SARS-CoV-2. National initiatives, like Mission Indradhanush and Vaccine Maitri, have helped expand immunization coverage, improve public health, and share vaccines …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 2, 2026 · pp. 1–21 Read article
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Enhancing Rhizoremediation of Petroleum Hydrocarbon-Contaminated Soil Using Brachiaria ramosa: A Review of Plant Growth Promotion and Degradation Potential
Abstract: This paper examines rhizoremediation as a sustainable and environmentally acceptable remediation technique in response to the growing problem of petroleum hydrocarbon pollution in soils. Brachiaria ramosa, a tropical grass species that may be useful in contaminated settings, is the main emphasis. A critical analysis of the literature on plant growth-promoting rhizobacteria (PGPR), microbial consortia involved in hydrocarbon breakdown, and rhizosphere-mediated degradation is conducted. There is a thorough discussion of important …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 1, 2026 · pp. 24–41 Read article
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Solid Acid Catalysts for the Selective Conversion of Biomass to Levulinic Acid
Abstract: Levulinic acid (LA) has emerged as a versatile platform chemical with significant potential for producing renewable fuels like gamma-valerolactone (GVL), biodegradable polymers, and fine chemicals from biomass (both terrestrial and marine which ae rich in carbohydrate). The selective conversion of biomass-derived carbohydrates to LA requires efficient catalytic systems that can overcome the recalcitrance of the biomass, namely the stiff-necked structural integrity of cellulose and the kind of strong interactions between …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 1, 2026 · pp. 23–35 Read article
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A Review on Integrated Acoustic Emission and Piezoelectric Sensing for Real-Time Damage Characterization of Polymer Composite-Enhanced Concrete: Advances, Challenges, and Future Perspective
Abstract: Polymer composite reinforced concrete has been identified as an efficient material system that can enhance the mechanical properties, durability, and service life of modern structures. The combination of fiber reinforced polymers (FRPs), polymer modifiers, and hybrid composite reinforcements increases structural effectiveness. However, these systems are still vulnerable to damage processes, including matrix cracking, fiber breaking, interfacial debonding, and delamination. Thus, there is a need for structural health monitoring (SHM) strategies …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 930–939 Read article
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Development of an Arduino-Based Water Quality Monitoring System Using Turbidity Sensor
Abstract: Clean drinking water is essential for human health since dirty water can lead to serious diseases such as diarrhoea, cholera and typhoid and long-term diseases such as kidney damage, cancer and child development problems. Though hard water is less dangerous, it causes dry skin and kidney stones and saline water causes high blood pressure. The Water Quality Monitoring System exists as a solution against existing water safety issues. The system …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 1, 2026 · pp. 26–31 Read article
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IoT based Healthcare Monitoring for COVID- Subvariant JN-1
Abstract: COVID-19 The pandemic has brought attention to how crucial healthcare surveillance is to be controlling and halting the spread of infectious diseases. The introduction of novel variations such as the JN 1 subvariant, there is an urgent need for advanced and efficient monitoring systems to keep track of the virus and its impact on individuals and communities. This is where the Internet of Things (IoT) comes into play, offering a …
Published in Journal of Electronic Design Technology · Vol. 14, Issue 3, 2023 · pp. 21–27 Read article
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Functional Coding of Maximum Power Point Tracking by Using Perturb and Observe Method in MATLAB for PV System
Abstract: Implementation of the solar system is nowadays very popular due to less availability and high cost of non renewable fuels. In this work, modelling of the solar panel along with Maximum Power Point Tracking (MPPT) is performed. MPPT is used to make the system more efficient. To gain this Perturb and Observe method is used to obtain the constant DC voltage at the maximum power. In this paper, constant DC …
Published in Journal of Power Electronics and Power Systems · Vol. 5, Issue 3, 2015 · pp. 1–8 Read article
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Integrated Computational and Bio-catalytic Transformations: DFT-Guided Mechanistic Insights, Machine Learning, and Nano-biocatalyst Engineering for Sustainable Catalysis
Abstract: Computational catalysis has emerged as a transformative scientific discipline that integrates quantum chemistry, molecular modeling, machine learning, and density functional theory (DFT) to understand catalytic mechanisms and design highly efficient catalytic systems for sustainable industrial applications. The increasing global demand for environmentally responsible chemical manufacturing has accelerated research on advanced catalytic materials including transition metal catalysts, metal–organic frameworks (MOFs), homogeneous catalysts, heterogeneous systems, and bimetallic catalysts involving nickel and iron. …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 36–44 Read article
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Time Series Forecasting of Electricity Consumption: A Comparative Analysis of ARIMA and SARIMA Models
Abstract: Accurate electricity demand forecasting plays a vital role in energy planning, efficient power system operation, and sustainable resource management. This study conducts a comparative evaluation of the Autoregressive Integrated Moving Average (ARIMA) and Seasonal Autoregressive Integrated Moving Average (SARIMA) models using ten years of monthly electricity consumption data collected from a national electricity regulatory authority. The performance of both models is assessed using forecasting accuracy metrics, including Mean Absolute Error …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 43–53 Read article
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Development of Smart Kitchen System using RFID
Abstract: We've been implementing an application to keep track of the food inventory i.e. observing the status of the inventory, creation of shopping list automatically without any human interaction based on the food status in the inventory and observing the level of food containers to give an alert message to the user at times when food level is critical. Giving an automation to all these daily routine tasks will reduce human …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 1, Issue 1, 2014 · pp. 12–15 Read article
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A Review on Breast Cancer Diagnosis in Mammography Images Using Deep Learning Techniques
Abstract: The Breast Cancer is second of the dangerous type diseases that is very effective for women in the world. Breast Cancer is spread very fast in last stage. It’s not give a more time for patients for treatment. We need accurate and efficient diagnosis system over a short period of time that can processed a large amount of data in a short time. It’s only possible using deep learning techniques. …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 1, 2018 · pp. 51–57 Read article
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Performance Analysis of AODV Protocol in MANET Using Fuzzy Logic and QUALNET
Abstract: Mobile ad hoc network (MANET) is an infrastructure-less network in which nodes are connected without any fixed infrastructure. Routing protocols find route to forward data packets from the source node to the destination node. A routing protocol performs key role in finding the shortest route path. In this paper, an approach has been presented using fuzzy logic to evaluate and compare AODV routing protocol with QUALNET. In this paper, number …
Published in Journal of Operating Systems Development & Trends · Vol. 3, Issue 1, 2016 · pp. 7–13 Read article
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Optimization of Machining Parameters for Titanium Alloy (Grade-5) Using CBN Tool Insert with Different Nose Radius Using Taguchi Technique
Abstract: In this research paper, focus is on the machinability study of titanium (grade-5) alloy using the CBN cutting tool inserts having nose radius of 0.4 mm and 0.8 mm. Taguchi method provides a simple, systematic and efficient methodology for optimization of the cutting parameters. Taguchi design of experiment approach has been used for planning the experiments and analysis of experimental data obtained. An orthogonal array L27 (313), the signal-to-noise (S/N) …
Published in Trends in Mechanical Engineering & Technology · Vol. 2, Issue 2, 2012 · pp. 17–31 Read article
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CFD Approach for Analyzing the Variation of Flow Parameters and Losses in a Mixed Flow Francis Turbine
Abstract: Francis turbine can be used for a wide range of head and discharge, thus it is the most versatile water turbine in use [1]. As load varies from full load; the regime of operation changes for meeting the required power demand on electric system [2]. Efficiency of Francis turbine drops significantly at part load and overloading operations due to increased shock losses at the entry to runner, eddy formation and …
Published in Journal of Experimental & Applied Mechanics · Vol. 7, Issue 2, 2016 · pp. 54–65 Read article
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Studies on Cr (VI) Removal from Aqueous Solution using Al2O3 and ZnO Nanoparticles Composite
Abstract: Cr (VI) is a heavy metal and is considered to be toxic both to environment and human beings after a permissible limit. The removal of Cr (VI) using conventional methods was ineffective. With introduction of nanotechnology, the remediation of Cr (VI) has become more easy and effective. Nanoalumina has been an efficient adsorbent system for the adsorption of different heavy metals. It has an excellent adsorption capacity for metal ions …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 4, Issue 1, 2014 · pp. 39–45 Read article
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A Clustering Based CPU Scheduling Algorithm for Real Time Systems
Abstract: CPU scheduling is a fundamental function of operating system. The performance and efficiency of multitasking operating systems mainly depend upon the uses of CPU scheduling algorithm. When an operating system wants to execute a process, it does not know the execution time it needs. After running, the exact execution time of that process would appear. Here we present a new scheduling approach using the Partitioning Around Medoid (PAM) clustering algorithm …
Published in Current Trends in Information Technology · Vol. 1, Issue 1, 2011 · pp. 1–7 Read article
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Design and Development of Centralized Air Conditioning Plant Model with Water Cooled Chiller
Abstract: The work consists of how a proposed centralized air conditioning is designed and its criterion for a new building in college. Central Air Conditioners working is a complex and cumbersome topic which takes a lot of time and effort. It’s a difficult task to explain the entire parts, its working and maintenance. Here an effort is made to explain about the designing of Ducts used in a central A/C. A …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 7, Issue 3, 2020 · pp. 9–17 Read article
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TRIAC Based Light Intensity Controller for Energy Saving
Abstract: AbstractThis project is a basic system which aims to control the intensity of light. It presents a strategy by virtue of which the user can vary the intensity of light. The main issue with lighting systems is that they are either completely ON or completely OFF. There is no provision of partial lighting which can make a system more efficient. The idea is to control intensity of light using TRIAC, …
Published in Research & Reviews : Journal of Physics · Vol. 9, Issue 1, 2020 · pp. 66–72 Read article