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363 articles for “Data reduction”
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Computational Biomodeling: Transforming Drug Design with Advanced Simulations
Abstract: Computational biomodeling has emerged as a transformative approach in the field of drug discovery, significantly enhancing the efficiency and precision of identifying and optimizing potential drug candidates. This article explores the various computational techniques utilized in drug design, including molecular docking, molecular dynamics (MD) simulations, free energy calculations, and virtual screening, and examines how these methods collectively contribute to the drug development process. The integration of these advanced simulations allows …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 24–29 Read article
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Quasar: Quantum-Accelerated Sustainable Anomaly Recognition in Climate Systems
Abstract: Accurate detection of climate anomalies is vital for disaster alleviation and policy making in a sustainable manner, but customary detection methods face the challenges of computational inefficiency and physical inconsistency. In this study, we propose a novel approach called Quantum-Optimized Fuzzy Physics-Informed Neural Networks (QFuzzy-PINNs), which integrates quantum computing, fuzzy logic, and physics-informed deep learning. As a first step, we employ quantum annealing for conventional optimization to adjust multiple Gaussian …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 18–27 Read article
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Data Structure Driven Probabilistic Deadlock Resolution in Multiprocessor Systems
Abstract: Deadlock resolution in multiprocessor systems is fundamentally a graph-theoretic and probabilistic decision problem. Existing victim selection heuristics, such as youngest, oldest, and lowest priority, apply static rules that overlook the dynamic runtime state of processes, leading to unnecessary computational loss. This paper reframes the inference-guided preemption (IGP) algorithm as a data-structure-centric solution, highlighting how resource allocation graphs, wait-for graphs, adjacency lists, min-heaps, and hash-based evidence stores interact to enable efficient …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 11–20 Read article
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Exploring Polymer Biocomposite as a Sustainable Filter for Water Treatment
Abstract: The present study explores the utilization of polylactic acid (PLA), a renewable polymer combined with surface-modified nanocellulose (SMNC), and pectin derived from Borassus flabellifer leaves and fruits respectively. Existing methods of filtration are synthetic and affect the environment and public health at an alarming rate thereby making biopolymer-based membranes a greener and effective approach for water treatment. PLA-SMNC-pectin biofilm was fabricated using 88.5 mg PLA, 3.5% (wt. % of PLA) …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 594–608 Read article
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Delay Analysis of HS-14T 45nm CMOS SRAM with Different SRAM Techniques for Improvement in Speed
Abstract: This paper presents a novel HS-14T design aimed at significantly improving read and write delays compared to conventional 6T and other memory cells RHRD-12T, SEUH-12T, and NHRC-14T. As technology scales, the demand for faster and more stable memory cells becomes increasingly critical. Our proposed HS-14T incorporates additional transistors to enhance stability and reduce access times, resulting in notable performance gains. Comprehensive simulations reveal that the HS-14T SRAM cell substantially reduces …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 2, 2024 · pp. 1–13 Read article
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Technological Advancements in Agricultural Spraying Drones: A Review of Efficiency and Environmental Impact
Abstract: Developing an unmanned aircraft system with cutting-edge sensors for accurate pesticide and fertilizer delivery, crop monitoring, and resource optimization in agriculture is the main goal of the agricultural spraying drone project. The initiative intends to minimize chemical usage and lessen environmental effects while providing a sustainable and environmentally friendly alternative. Real-time monitoring, obstacle avoidance, GPS-based navigation, and data analytics are some of the key features. Airframe design, propulsion, cargo delivery, …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 1–11 Read article
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Optimization of Pesticide Requirement Calculations for IoT-Operated Hexacopter Delivery Systems
Abstract: The integration of Internet of Things (IoT) technology into precision agriculture has transformed pesticide application strategies, enabling resource-efficient and environmentally sustainable practices. This study presents a computational methodology for optimizing pesticide requirements in an IoT-operated hexacopter system, designed for dynamic, data-driven pesticide delivery. Leveraging a fusion of real-time telemetric data from onboard LiDAR, multispectral imaging sensors, and environmental monitoring modules, the system employs predictive analytics and edge computing to calculate …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 08–14 Read article
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AI-Driven Topology Optimization of Woven Fiber-Reinforced Composite Chassis Structures for Electric Vehicles Under Crash Loading
Abstract: The structural design of an electric vehicle (EV) chassis represents a unique engineering challenge to achieve minimal weight while meeting occupants' safety requirements during high-energy crash conditions without compromise to the battery housing's integrity or the geometrical constraints of the electric powertrain package. In this paper, a single framework is proposed to integrate physics-based artificial intelligence (AI) surrogate models using PINNs, CNN-accelerated topology optimization, and FEA to design woven fiber-reinforced …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 72–89 Read article
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Nanoparticle-Based Early Diagnostic Tools for Tuberculosis and Malaria in Rural India
Abstract: Malaria and Tuberculosis continue to be two major public health challenges in rural India. The interplay between an inefficient health care system, late diagnosis, and under-identification of cases contributes to the high morbidity and mortality associated with TB and Malaria. Conventional methods, such as sputum microscopy for TB, microscopy and rapid diagnostic tests (RDTs) for malaria, have a higher benchmark of sensitivity that requires a certain amount of time, skilled …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 45–51 Read article
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Machine Learning-Based Approach for Heart Disease Prediction
Abstract: Heart disease is a significant global health challenge, with early diagnosis and prediction being essential for reducing mortality rates. Machine Learning (ML), an efficiently developing field within Artificial Intelligence, provides innovative methods for analyzing complex clinical data to predict heart disease. This review examines the basic machine learning techniques, data, and metrics used in cardiovascular disease prediction. It explores the role of supervised learning, such as decision trees and logistic …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 64–73 Read article
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Land Use/Land Cover Change Dynamic of Bokaro District, East India Using Remote Sensing and GIS Techniques
Abstract: Land, sometimes referred to as dry land, is the solid surface of Earth that is not permanently covered by water. The study describes the land use and land cover (LULC) dynamics in Bokaro district at Jharkhand from 1991 to 2011 using Remote Sensing and Geographical Information System (GIS). Whatever, human activities is invented or generated begins from LAND. Therefore, its uses and disintegration by human throughout the period of time …
Published in Journal of Remote Sensing & GIS · Vol. 9, Issue 3, 2018 · pp. 16–22 Read article
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Application of Neural Network Analysis to Correlate the Properties of Plasma Spray Coating
Abstract: Thermal spray coatings are more often being demanding process at the recent stages of industrial design processes to become fundamental element of the engineering system. The aim of the present paper is to develop a model-based estimation and control for regulating the coating adhesion strength, by using neural network. This proposed model permits cost reduction by the possibility of adjusting the parameter of the process for each of the desired …
Published in Journal of Materials & Metallurgical Engineering · Vol. 2, Issue 1-3, 2012 · pp. 1–10 Read article
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Wall to Bed Mass Transfer in the Presence of Double Cone Promoter in a Three Phase Fluidized Bed with Conical Entry of Electrolyte
Abstract: AbstractInvestigations have been carried out experimentally to study the effect on wall-to-bed mass transfer coefficient in presence of double cone promoter in a three-phase fluidized bed with a conical entry of electrolyte. The system chosen was an electrolyte as liquid phase, glass spheres of different diameters as solid phase and inert nitrogen as gas phase. The electrolyte was an equimolar solution of potassium ferricyanide and potassium ferrocyanide each of 0.01 …
Published in Journal of Petroleum Engineering & Technology · Vol. 7, Issue 2, 2017 · pp. 39–43 Read article
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Robust Access Control Mechanisms Using VHDL Programming for IoT Security
Abstract: The Internet of Things (IoT) devices are increasingly becoming targets for criminal actors. A compromised device can result in data breaches, denial-of-service attacks, and even physical damage. While software-based security solutions are important, they are susceptible to attacks and often impose significant overhead, negatively impacting both performance and battery life. A viable alternative is provided by hardware-based security, which takes advantage of the inherent security benefits that are associated with …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 2, 2025 · pp. 6–1`9 Read article
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Impact of Vaccine Awareness Campaigns on Pharmacovigilance Reporting and Public Safety Monitoring
Abstract: Vaccination programs have significantly contributed to the reduction of infectious diseases worldwide; however, their success is closely tied to public confidence and robust safety monitoring systems. Pharmacovigilance plays a critical role in identifying, assessing, and preventing adverse events following immunization (AEFI). In recent years, vaccine awareness campaigns have emerged as a pivotal strategy to improve public knowledge, reduce vaccine hesitancy, and enhance reporting of adverse drug reactions (ADRs). This review …
Published in International Journal of Vaccines · Vol. 3, Issue 2, 2026 · pp. 1–14 Read article
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ECG De-noising Techniques and Optimal Feature Selection Using Principle Component Analysis
Abstract: AbstractECG (Electrocardiography) is used to record and determine the condition of the heart. This paper provides an overview of various ECG de-noising techniques that are used to eliminate different type of noises; therefore, noise reduction procedure to be performed to eliminate different type of noises such as baseline wander, dc offset and high frequency interference, and then the pre-processed signal is used to extract features from the ECG signal. This …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 5, Issue 1, 2018 · pp. 14–20 Read article
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Implementation of Carry Select Adder with Reduced Area Scheme
Abstract: Addition is the heart of arithmetic unit and the arithmetic unit is often the work horse of a computational circuit. So, adders play a key role in designing an arithmetic unit and also many digital integrated circuits. Carry select adder (CSLA) is one of the fastest adders used in many data processors and in digital circuits to perform arithmetic operations. But CSLA is area-consuming because it consists of dual ripple …
Published in Journal of VLSI Design Tools and Technology · Vol. 7, Issue 1, 2017 · pp. 1–5 Read article
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Pre-extension Demonstration of Improved onion under furrow irrigation in Melokoza and Basketo special Districts of Southern Ethiopia
Abstract: Despite high potentials, the production and productivity of horticultural crops including onion in Ethiopia in general and Southern region in particular is very low. Irrigation water scarcity is one of the major problems in arid and semi-arid areas of Ethiopia. To address this issue, the Arba Minch Agricultural Research Center conducted trial of different water saving technologies for irrigated onion (red bombe) at the station level and obtained promising results. …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 12, Issue 3, 2023 · pp. 30–35 Read article
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Reducing Food Waste Through Digital Innovation: A Flutter-Based Food Donation System
Abstract: Food wastage is a worldwide problem, causing environmental deterioration and loss of resources. At the same time, food insecurity affects a large number of people and communities. The goal of the proposed food donation app is to bridge the gap with a suitable and convenient platform to bring food donors and vulnerable organizations and people together. The app facilitates convenient food donation in a manner that excess food actually reaches …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 14, Issue 2, 2025 · pp. 24–32 Read article
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Innovating Sustainably: The Role of Generative Design in Sustainable Technology Development
Abstract: As industries strive for sustainability, generative design has emerged as a transformative approach in engineering, offering solutions that minimize environmental impact while optimizing product performance. Based on established features, including material, size, weight, and performance standards, generative design generates an immense amount of design options using machine learning and artificial intelligent algorithms. Unlike traditional design, which relies on human intuition, generative design automates the exploration of solutions, ensuring material efficiency, …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 3, Issue 1, 2025 · pp. 39–45 Read article