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652 articles for “TE domain”
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Harnessing Artificial Intelligence for Precision Physics: A Machine Learning Framework for Data Reconstruction in Support of India's Deep-Tech Missions
Abstract: India's emergence as a global leader in deep-tech innovation is driven by ambitious scientific megaprojects, including the Laser Interferometer Gravitational-Wave Observatory (LIGO)-India, the X-ray Polarimeter Satellite (XPoSat), the Aditya-L1 solar observatory, and the National Quantum Mission (NQM). However, the unprecedented scale and complexity of the observational data generated by these missions present severe computational bottlenecks. Traditional analytical frameworks struggle with non-stationary noise transients, diffusion blurring, and the exponential scaling limits …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 2, 2026 · pp. 48–55 Read article
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Advancements in Satellite Networking Applications Through Delay-tolerant Networking (DTN)
Abstract: The burgeoning demand for global connectivity and communication has intensified the exploration of novel networking paradigms, especially in remote or challenging environments where traditional methods fall short. One such innovative approach is delay-tolerant networking (DTN), a technology specifically engineered to work in scenarios where standard networking is unreliable, frequently disrupted, or suffers from considerable delays. This study focuses on the application of DTN in satellite networking, a domain characterized by …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 1, 2024 · pp. 24–28 Read article
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Mindwell: A Psychological Guide for Well-being
Abstract: Mental health is a crucial aspect of overall well-being, yet access to professional therapy remains a significant challenge for many individuals due to various barriers, including cost, availability, and stigma. This research aims to develop an accessible and effective mental health therapy chatbot, named Mindwell Psychology, leveraging the power of large language models (LLMs) and state-of-the-art natural language processing techniques. The primary objective of this study is to create a …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 63–77 Read article
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Understanding of Research Bias in Herbal Medicine: A Comprehensive Review
Abstract: Background: The communication and generation of knowledge are central to research. In herbal medicine, with its deep historical roots, research must be methodologically rigorous and unbiased to validate traditional knowledge in modern contexts. Bias, defined as any tendency preventing objective evaluation of a research question, compromises validity and reliability. Objective: To highlight types of research bias in herbal medicine and discuss strategies for minimization to ensure credible and applicable findings. …
Published in Research & Reviews : Journal of Herbal Science · Vol. 15, Issue 1, 2026 · pp. 31–35 Read article
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Efficient Technique for Analyzing Non-Uniform Transformer Windings
Abstract: This paper addresses the electromagnetic transients and the frequency characteristics of non-uniform transformer windings exhibiting inter-winding mutual circuit parameters. The dependence of the winding inductances and capacitances on the location along the winding is incorporated in the governing Kirchhoff’s voltage and current equations with the voltages and currents as unknowns. These unknowns will then be determined through the application of algebraic solution techniques in order to get closed-form analytical voltage …
Published in Journal of Power Electronics and Power Systems · Vol. 11, Issue 3, 2021 · pp. 1–8 Read article
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Adapting LSB Method on Bit-Plane for High-embedding Ratio of Steganography
Abstract: Internet is one of the medium of communication mostly used now a day. To conserve the security of information sent over the internet, steganographic concept makes its arrival. Least-significant bit and multi-bit embedding methods are the most well-known and familiar in this domain. Here, in this work, only least-significant bit method is used. It is a new technique which is indeed very simple in comparison to the other existing ones …
Published in Journal Of Network security · Vol. 1, Issue 1, 2013 Read article
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AI Driven IoT based Satellite remote sensing system: KSK Approach in Satellite Remote Sensing
Abstract: The convergence of the Internet of Things (IoT) and satellite remote sensing has traditionally been bottlenecked by massive data latency and limited downlink bandwidth. This paper proposes a decentralized framework for an "AI-Driven IoT-based Satellite Remote Sensing System," which shifts the paradigm from raw data transmission to onboard edge-intelligence. By integrating lightweight convolutional neural networks (CNNs) directly into satellite payloads, the system performs real-time feature extraction and anomaly detection before …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 50–57 Read article
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Design and Optimization of Domain-Specific Languages for High-Performance Computing Applications
Abstract: The accelerating demand for computational power in scientific, engineering, and data-intensive domains has driven high-performance computing (HPC) systems toward unprecedented levels of parallelism and architectural complexity. Contemporary HPC platforms integrate multicore CPUs, many-core GPUs, accelerators, and deep memory hierarchies, creating significant challenges for software development and performance optimization. Traditional general-purpose programming languages and parallel programming frameworks provide low-level control over hardware resources but require extensive manual tuning, resulting in poor …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 · pp. 17–22 Read article
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Water for the Development of Agriculture and Society
Abstract: The objective of sustainable agriculture is to meet humanity’s food and textile requirements in the present challenges without compromising for the future generations. At present the world is facing crisis with climate change posing a challenge to water works department at domestic, industrial and agriculture sector. There are many processes commonly used by people working in agriculture and sustainable food systems. Agriculturists employ many techniques to enhance agricultural fertility, cultivation, …
Published in Journal of Water Pollution & Purification Research · Vol. 10, Issue 2, 2023 · pp. 1–11 Read article
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Securing the Internet of Things: A Survey on Lightweight Blockchain Framework for Enhancing Security and Privacy
Abstract: Modern technologies, supported by the Internet of Things (IoT), have imparted great speed in data sharing between connected devices across several domains of the economy. The Internet of things transformed data collection activities with its creation of smart homes and cities, healthcare, transportation environments, and industrial automation. The fact that there are multiple resource-limited devices, and continuous data transfer of sensitive information has turned the IoT devices less secure and …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 6–14 Read article
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Design and Performance Investigation of Silicon-on- Insulator Based Optical Waveguide Biosensor
Abstract: Optical biosensors using silicon on insulator (SOI) prove itself a reliable option to get a real-time and cost-effective breast cancer detection technique. In this article, we discuss the need for and importance of a cancer detection technique that leads to accurate results without posing any harm to patients’ lives. We present a design of an optical biosensor using R-Soft CAD software simulated in the finite difference time domain (FDTD). Applications …
Published in Trends in Opto-electro & Optical Communication · Vol. 13, Issue 2, 2023 · pp. 16–25 Read article
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A review on polyhouse monitoring system
Abstract: The integration of Internet of Things (IoT) technology in agriculture has revolutionized traditional farming practices, offering innovative solutions to enhance productivity, sustainability, and resource efficiency. This study explores the role of loT-based systems in smart agriculture, focusing on applications such as environmental monitoring, automated irrigation, crop health prediction, and precision farming. The reviewed systems utilize advanced sensors to monitor parameters like temperature, humidity, soil moisture, and light intensity, transmitting real-time …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 2, 2025 · pp. 1–9 Read article
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Low-cost Vehicle Data Acquisition System
Abstract: The Vehicle and Driver Data Acquisition System Kit is an integrated solution designed to capture, analyze, and store essential information related to both vehicles and their drivers. This comprehensive kit incorporates cutting-edge sensors, communication modules, and data processing capabilities to provide a robust platform for real-time monitoring and post-event analysis. In the domain of electric vehicles (EVs), the need for effective data collection systems has become increasingly crucial. The current …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 9–14 Read article
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Big Data, Big Impact: The Role of Analytics in Modern Business
Abstract: In modern business, “Big Data” signifies the vast amount of data collected from various sources, and “Big Data Analytics” refers to the process of analyzing this data to extract valuable insights, enabling companies to make data-driven decisions, optimize operations, better understand customers, and ultimately gain a competitive edge by identifying trends, patterns, and opportunities that might otherwise be missed. This study analyzes large datasets, by which businesses can gain deeper …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 01–11 Read article
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Empowering Vehicle: The Impact of Deep and Reinforcement Learning in IoV
Abstract: Deep learning and reinforcement learning represent two pivotal pillars within the realm of artificial intelligence and machine learning, bearing transformative potential in the domain of the Internet of Vehicles (IoV). This abstract explores the multifaceted applications of these cutting-edge techniques within the IoV framework. Deep learning, exemplified by convolution neural networks (CNNs) and recurrent neural networks (RNNs), empowers IoV systems with the prowess to discern complex patterns in sensory data. …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 1–12 Read article
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Deep Learning Approaches for Nanoplasmonics: Expanding Horizons
Abstract: Deep learning, a subfield of machine learning, has revolutionized various domains by providing powerful tools to process and analyze complex data. In the realm of nanoplasmonics, deep learning techniques have emerged as promising approaches to tackle the challenges associated with large-scaledata analysis, modeling, and optimization of plasmonic systems. This article presents an in-depth exploration of deep learning approaches applied to nanoplasmonics research, focusing on the advances, opportunities, and future directions …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 13, Issue 1, 2023 · pp. 30–38 Read article
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Comparative Analysis of P, PI, and PID Controllers Based on Time Domain Specifications
Abstract: In this research, proportional (P), proportional-integral (PI), and proportional-integral-derivative (PID) controllers utilized in control systems are thoroughly compared. The study attentions on assessing system presentation with time-domain specifications such as rise time, settling time, overshoot, and steady-state error. Mathematical modeling and controller design are discussed, shadowed by analytical comparison. The results establish that while P and PI controllers offer simplicity, PID controllers provide superior performance in terms of stability and …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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Computing Appraisal of Trust Management Techniques in the Internet of Things
Abstract: Trust management is an alarming problem when it comes to interconnections and communication of objects online; Internet of Things (IoT). For ten years now, IoTs has become so popular because of its significance effect to human activities and its innovative services to many application domains. Nevertheless, IoTs is confronted with many security issues such as trust management. In spite of the huge jobs of trust the board methods in IoTs, …
Published in Journal of Communication Engineering & Systems · Vol. 11, Issue 2, 2021 · pp. 8–17 Read article
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Slurry Erosion Behaviour of D-Gun Sprayed Cr3C2-25NiCr and WC-12Co Coatings on CA6NM Turbine Steel Material
Abstract: In this research work, Erosive wear behaviour of hydraulic turbine material, i.e., CA6NM is investigated. The samples of alloy were coated by different powders Cr3C2-25NiCr and WC-12Co with detonation spray gun technique. Erosion tests have been conducted on self-made erosion test rig with different parameters. L9 Taguchi technique has been used for design of experiment by taking four factors viz. impact velocity, impact angle, slurry concentration and particle size. The …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 4, Issue 2, 2017 · pp. 8–17 Read article
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Orcad P-spice Modified Switches for Electrical and Electronic Circuits
Abstract: Voltage dependent switch and Current dependent switch are extensively used to obtain open/short circuit in various networks for various applications. PSPICE /OrCAD software analog behavioral modellings options and Spice dependent sources are used to obtain control equivalent circuits for switches (P-spice built-in models) to be used for two types of applications. Different circuits (at DC, time-domain), and Spice files are described to simulation circuits with analyses. The following features are …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 3, 2024 · pp. 27–45 Read article