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661 articles for “TE domain”
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Insurance Chatbot for Customer Support Using LLM and Generative AI
Abstract: The Insurance Chatbot for Customer Support is an AI inspired solution designed to streamline customer interactions within the insurance industry. The main purpose of Large Language Models and Generative AI in the chatbot enhances accessibility to policy details, facilitates seamless policy enrollment and enables real time claims tracking. Its ability to process natural language queries ensures accurate and intuitive responses, significantly reducing customer confusion and operational inefficiencies. This chatbot addresses …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 2, 2026 · pp. 41–47 Read article
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Emerging Technologies Big Data and Cloud
Abstract: Cloud computing is a effective and rising generation to carry out large and complicated computing. It affords a such an surroundings that's reliable & fault tolerant to haven massive information disbursed control systems. Big statistics refers back to the incapacity of vintage statistics architectures to address new statistics units efficiently. In the current times, exceptional boom has been determined in massive statistics domain, generated thru cloud computing. Big statistics remedy …
Published in Current Trends in Information Technology · Vol. 11, Issue 2, 2021 · pp. 16–22 Read article
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The Emerging Golden Age of Astrophysics: Progress, Discoveries, and Future Directions
Abstract: The period between 2024 and 2026 has marked a transformative era in astrophysics, fundamentally reshaping our understanding of the universe and its underlying physical mechanisms. Significant advancements in observational astronomy, computational modeling, and space exploration technologies have enabled scientists to investigate cosmic phenomena with unprecedented precision. Among the most groundbreaking achievements, the James Webb Space Telescope (JWST) has provided high-resolution infrared observations that revealed the large-scale distribution of dark matter, …
Published in International Journal of Universe · Vol. 2, Issue 1, 2026 · pp. 6–9 Read article
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Ferroelectric Materials for Next-Generation Non-Volatile Memory Applications
Abstract: The continuous scaling of conventional memory technologies is increasingly constrained by limitations in power consumption, speed, endurance, and integration density. As data-intensive applications such as artificial intelligence, Internet of Things, and edge computing demand fast and energy-efficient memory solutions, alternative non-volatile memory technologies have gained significant attention. Ferroelectric materials, characterized by their reversible spontaneous polarization, offer a promising pathway toward next-generation non-volatile memory due to their intrinsic non-volatility, low operating …
Published in Journal of Microelectronics and Solid State Devices · Vol. 13, Issue 1, 2026 · pp. 1–9 Read article
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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
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Sensor- based Intelligent Wearable Sun-Glasses
Abstract: The sudden onset of rain is a familiar and annoying experience for anyone who wears glasses when it comes to the weather. Your vision becomes hazy, droplets obscure the world around you, and the frequent desire to wipe your face results in smudges and activities that are disrupted. Despite the fact that sunglasses shield our eyes from the sun& glare, they do not provide any protection from the elements. On …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 3, 2025 · pp. 17–25 Read article
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Deep Learning for Traffic Sign Recognition in Autonomous Vehicles: Challenges, Trends and Future Directions
Abstract: Traffic Sign Recognition (TSR) serves as a fundamental task in the domain of autonomous vehicles (AVs), enabling systems to detect, classify, and respond to road signs with the level of accuracy and speed required for safe navigation. As AV technology continues to evolve, the role of intelligent TSR systems has become increasingly vital. Traditional computer vision techniques, while foundational, often fall short under challenging real-world conditions such as poor lighting, …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 2, 2026 · pp. 1–7 Read article
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Impact of ML in Evolution of Recommender Systems: A Review
Abstract: Recommender systems have become indispensable tools in today's digital era, catering to the overwhelming demand for personalized recommendations in various domains such as e-commerce, content streaming, and social media. The continuous growth of data and user interactions has necessitated the integration of advanced machine learning (ML) techniques to enhance the accuracy and efficiency of these systems. This study provides a thorough analysis of current developments in machine learning methods used …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 2, 2023 · pp. 26–32 Read article
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Machine Learning Based Approaches for the Detection and Classification of Crop Leaf Diseases
Abstract: Crop leaf diseases pose a significant threat to agricultural productivity worldwide, leading to substantial crop losses and economic consequences. Timely and precise identification and categorization of these diseases are vital for effective disease management and safeguarding crops. Over the past years, machine learning methods have gained prominence due to their potential to automate disease diagnosis and classification procedures. This review paper presents an overview of the various machine learning based …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 2, 2023 · pp. 31–38 Read article
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An Efficient Secure and Security Authentication Scheme for Vehicular Ad-hoc Networks
Abstract: AbstractVehicular ad hoc networks (VANETs) are planned to be deployed within the next decennary to repair driver protection, stop clash, and provide traffic interpreter. Present years have supported an increasing interest in the security schemes for VANETs, as this territory was generally less investigated contrasted with different regions medium access and routing. In particular, efficient authentication of the messages in a VANET with other desirable security features has been heavily …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 5, Issue 1, 2018 · pp. 29–35 Read article
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Trends and Applications of Artificial Intelligence in Mechanical Engineering: A Review
Abstract: Artificial Intelligence (AI) has become a revolutionary force across various fields, including mechanical engineering, where it is redefining traditional approaches to design, manufacturing, maintenance, and overall system optimization. This review aims to provide a comprehensive introduction to AI and explore its diverse applications within the domain of mechanical engineering. The study begins with a foundational overview of AI, including key concepts such as machine learning, neural networks, deep learning, and …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 3, 2025 · pp. 30–35 Read article
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Automated Thyroid Nodule Detection in Ultrasound Image using Optimal Neural Network Classifier
Abstract: Malignant thyroid nodule detection is an important issue in thyroid ultrasonography image processing. Literature reports many algorithms in this domain. This research aims to design optimal decision support system (DSS) for ultrasound thyroid nodule image characterization into benign and malignant classes. Thyroid nodule region is segmented to extract texture features from thyroid nodule ultrasound images acquired from 38 patients using gray level co-occurrence matrix (GLCM) and statistical properties. These features …
Published in Journal of Advancements in Robotics · Vol. 2, Issue 2, 2015 · pp. 15–25 Read article
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A Review on Applications of Artificial Intelligence (AI) in Parkinsons’s Disease Diagnosis and Treatment and Its Future Challenges
Abstract: Parkinson’s disease (PD) is a long-term, progressive neurodegenerative disorder that mainly occurs in people older than 60 years, affecting nearly 1% of this population. It is chiefly marked by the loss of dopaminergic neurons in the substantia nigra, a crucial brain region responsible for controlling motor functions. The resultant dopamine deficiency significantly disrupts motor control, manifesting in clinical symptoms such as tremors, bradykinesia, muscle rigidity, and postural instability. While PD …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 3, 2025 · pp. 1–15 Read article
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Improving Dataset Integrity Through Automated Data Cleaning Techniques
Abstract: High-quality data is a fundamental requirement in data science for producing trustworthy analytical insights and effective machine learning models. Problems, including incomplete records, inconsistent entries, duplicate observations, and anomalous values, can severely reduce the accuracy and robustness of predictive systems. As modern datasets continue to expand in both volume and structural complexity, relying on manual data cleaning methods become time-consuming and error-prone, highlighting the growing importance of automated data preprocessing …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 40–45 Read article
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A SHAP - Enhanced Voice-Based Conversational Agent for Agriculture Using BERT
Abstract: The integration of advanced artificial intelligence technologies into modern agriculture has become increasingly important for narrowing the persistent knowledge gap faced by farmers, especially in regions with limited access to expert advisory services. While state-of-the-art language models such as BERT (Bidirectional Encoder Representations from Transformers) demonstrate exceptional performance in understanding and generating natural language, their opaque “black-box” nature often limits user confidence, trust, and widespread adoption. Farmers may hesitate to …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 Read article
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Modeling and Simulation of a Chaotic Oscillator Using Mathematica
Abstract: This paper suggests a modified methodology for the modeling and simulation of a chaotic oscillator. Its analysis and the pertinent results of an efficient Mathematica simulation program dealing with a typical Chua's circuit are presented and discussed. The derived computer code is based on the application of state-variables in the time domain. The program yields the circuit’s currents and voltages and indicates their sensitivities to changes in the numerical values …
Published in Journal of Power Electronics and Power Systems · Vol. 11, Issue 1, 2021 · pp. 28–37 Read article
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Role of Deep Learning in Image Recognition
Abstract: Deep learning (DL) is a part of machine learning (ML) while ML is a subarea of artificial intelligence (AI). Deep learning or convolutional neural network (CNN) is a kind of neural network (NN). Nowadays, DL is playing a peculiar role in image recognition. It is being applied for recognizing speeches, language translations, automatic game playing, healthcare, and Self-driving a car as well. The concept of DL was proposed by Alexey …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 2, 2021 · pp. 34–39 Read article
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Design and Performance Comparison of Secure Routing Protocol in Integrated UMTS and WLAN Ad Hoc Networks
Abstract: The impact of routing attack on the Integrated Universal Mobile Telecommunications System (UMTS) and Wireless Local Area Network (WLAN) ad hoc network can be minimized by choosing a suitable secure routing protocol. This paper introduces a new secure inter-domain routing protocol SNAuth_SPERIPv2 and its performance comparison with other secure routing protocols for Constant Bit-Rate (CBR) voice conversational traffic. Keywords: Integrated UMTS and WLAN Ad Hoc network, Scalability, QoS, Routing, Security, …
Published in Journal Of Network security · Vol. 4, Issue 3, 2016 · pp. 28–41 Read article
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Review on Multiple Database Forensic Analysis with Internet of Things
Abstract: Database bad behavior scene assessment is a domain that utilizes database substance and metadata to uncover unsafe exercises on database structures in an Internet of Things condition. Notwithstanding the way that the chance of database genuine sciences has been around for a long time, evaluation of electronic awful conduct rehearsals and propelled breaks in an Internet of Things condition would profit by the movement of a common precise standard that …
Published in Journal of Advanced Database Management & Systems · Vol. 8, Issue 2, 2021 · pp. 13–16 Read article
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Comparative Realization of 2DoF PID Controllers for Flow Process with Measurement Delay
Abstract: Two Degree-of-Freedom (2DoF) PID control techniques presented in this paper were developed based on optimal control theory and with the Anti-Integral Windup (AIW) scheme. The controllers were implemented for a laboratory flow process setup. First Order Process with Dead Time (FOPDT) models had been identified by step testing. The process responses showed a significant non-minimum phase dynamics exhibited for the specific step inputs applied. The measurement delay was considered as …
Published in Journal of Control & Instrumentation · Vol. 6, Issue 1, 2015 · pp. 1–8 Read article