Search
670 articles for “Automated Model”
-
Text-to-SQL Systems: A Comprehensive Study of Evolution, Architectural Advancements, Challenges, and the Role of Large Language Models in Intelligent Query Generation
Abstract: Interacting with relational databases traditionally requires knowledge of Structured Query Language (SQL), which creates a significant barrier for users who do not have technical expertise. To address this challenge, Text-to-SQL systems have emerged as an important area of research, enabling users to express their information needs in natural language while automatically generating executable SQL queries. These systems aim to make database access more intuitive, efficient, and accessible across a wide …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 2, 2026 · pp. 10–19 Read article
-
Design and Analysis of Automobile Hood
Abstract: Bonnet is a main component of front portion of a car one which is used for many purposes. It is usedto decorate the car and add luxurious look. Bonnet is made in aerodynamic shape to reduce airresistance. Bonnet generally used to cover car engine. Therefore, the bonnet system is an accesspanel to the engine compartment to enable maintenance of power train, drive belts, battery, fluidlevels and lamp units, and it …
Published in Journal of Production Research & Management · Vol. 11, Issue 1, 2021 · pp. 42–52 Read article
-
Artificial Intelligence for Real-time Water Management
Abstract: Effective water management is vital for sustainable development, requiring the strategic allocation and utilization of water resources to satisfy the diverse demands of agriculture, industry, and households. Traditional methods are increasingly inadequate due to escalating challenges from climate change and population growth, which amplify water scarcity and distribution issues. To overcome these challenges, we need innovative solutions. Artificial intelligence offers significant potential in revolutionizing realtime water management through advanced techniques …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 13–20 Read article
-
Automated Suspicious Activity Detection in Video Surveillance Using Deep Learning: A Review
Abstract: In the current era of advanced security systems, video surveillance plays an essential role in ensuring safety by detecting suspicious activities. With the increase in real-time data, manual monitoring has become impractical, paving the way for automated surveillance systems utilizing machine learning (ML) and artificial intelligence (AI) technologies. This paper explores the integration of ML and AI models, specifically convolutional neural networks (CNNs) and long short-term memory (LSTM) networks, for …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 20–27 Read article
-
Implementing Machine Learning in Data Classification
Abstract: Data classification forms an essential aspect of artificial intelligence (AI) and soft computing, helping a great deal in the transformation of raw data into knowledge that forms the basis of numerous applications, such as fraud detection, medical diagnostics, and natural language processing. This study discusses the challenges and the state of the art in data classification, as far as scalability, noise handling, and feature selection optimization are concerned. It gives …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 15–22 Read article
-
Multimodal Disease Detection Using Deep Learning
Abstract: Artificial Intelligence (AI) is playing an increasingly pivotal role in modern healthcare, particularly in improving the speed and accuracy of disease detection. With the evolution of Machine Learning (ML), Deep Learning (DL), and high-performance computing, AI-based solutions are now capable of processing extensive medical datasets, ranging from patient records to diagnostic images, with remarkable efficiency. These systems offer immense potential for early intervention, improved clinical decision-making, and alleviating pressure on …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 129–139 Read article
-
IoT Based Weather Monitoring System
Abstract: The Internet of Things (IoT)-Based Weather Monitoring System is developed to provide accurate, real- time monitoring of essential environmental parameters, including temperature, humidity, and atmospheric pressure. The system integrates high-precision sensors with a microcontroller, enabling continuous data acquisition from the surrounding environment. Collected data is transmitted wirelessly to a dedicated IoT platform via an internet connection, allowing remote users to access and visualize the information through web or mobile interfaces. …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 3, 2025 · pp. 26–34 Read article
-
Damping Analysis of Composite Drive Shaft using Computational methods
Abstract: Drive shaft used in automotive is a critical component which comes under the influence of different types of loads in operation. Torsional loading is one of the prime causes contributing to its failure. Most of the research on drive shaft was focused on evaluating natural frequency, torsional strength, buckling torque using analytical approach and also using FEM. This project work deals with the analysis of damping behavior of E-glass/epoxy composite …
Published in Journal of Mechatronics and Automation · Vol. 1, Issue 2, 2014 · pp. 33–38 Read article
-
Ameca Humanoid Robot: A Review
Abstract: The creation of humanoid robots has garnered a lot of attention in recent years. These human-like robots are frequently utilized in research, entertainment, and a variety of other fields. Ameca is a fascinating innovation that is grabbing the interest of academics, scientists, and the general public alike as one such humanoid robot. The sophisticated AI technology offered by Ameca is among its most amazing characteristics. This study provides an overview …
Published in Journal of Advancements in Robotics · Vol. 9, Issue 3, 2022 · pp. 36–43 Read article
-
Damping Analysis of Composite Drive Shaft using Computational methods
Abstract: Drive shaft used in automotive is a critical component which comes under the influence of different types of loads in operation. Torsional loading is one of the prime causes contributing to its failure. Most of the research on drive shaft was focused on evaluating natural frequency, torsional strength, buckling torque using analytical approach and also using FEM. This project work deals with the analysis of damping behavior of E-glass/epoxy composite …
Published in Trends in Mechanical Engineering & Technology · Vol. 4, Issue 2, 2014 · pp. 33–38 Read article
-
A Review of Machine and Deep Learning Techniques for Cyber Security
Abstract: Nowadays in the digital landscape, cyber threats and attacks are increasing in an exponential manner, posing server risks to organizations and critical infrastructures. Data breaches often result from sophisticated threat models that exploit vulnerabilities in networks, systems and user behaviors. Cyber solutions are increasingly incorporating machine learning and deep learning to prevent and mitigate these security issues. These technologies have the potential to detect anomalies, classify threats and predict potential …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 01–07 Read article
-
3D Printing in the 21st Century: A Critical Review of Advances and Impacts Across Sectors
Abstract: 3D printing, or additive manufacturing, has become a pivotal technology in the 21st century, reshaping a variety of industries. This review critically examines the technological advancements that have driven the widespread adoption of 3D printing, including innovations in printing materials, precision, and speed. In sectors like healthcare, aerospace, automotive, and consumer goods, 3D printing has revolutionized product development, enabling rapid prototyping, customizations, and more efficient manufacturing processes. In healthcare, for …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 18–24 Read article
-
Deep Learning-Based Alzheimer’s Disease Detection: A CNN Approach
Abstract: Alzheimer’s disease (AD) is a neurological condition that worsens with time and impairs a patient’s quality of life by causing cognitive loss. For prompt intervention and management of AD, early identification is essential. In this work, we propose a deep learning-based method for automatically classifying Alzheimer’s disease from medical imaging data using convolutional neural networks (CNNs). Our algorithm is intended to evaluate brain MRI images and detect anatomical variations suggestive …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 3, 2025 · pp. 24–31 Read article
-
Xypher Bot: Autonomous Surveying Robot
Abstract: Xypher Bot is a fully autonomous robot built to carry out tasks like height measurement, estimating distance, and detecting objects. It uses affordable and easily available components such as the MPU6050 sensor, ultrasonic sensors, and a laser pointer. By using simple trigonometry, the bot can measure object height with good accuracy. The top part of the bot, which is responsible for height measurement, has already been built and tested. The …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 49–62 Read article
-
Evaluation of Open Source Software in University Libraries of Madhya Pradesh
Abstract: This paper present the open source software (OSS) for library management study. It focuses on the analysis of OSS on the idea of sure vital checkpoints. It conjointly highlights the importance of library automation, library activities, and services. All libraries should strategically arrange so as to fulfill the strain of patrons wants to use new technology to access info from databases worldwide. Open source software as an alternate model of …
Published in Journal of Advancements in Library Sciences · Vol. 6, Issue 1, 2019 · pp. 99–106 Read article
-
Role of Artificial Intelligence in Transforming Personalized Learning in Education
Abstract: Artificial Intelligence (AI) is revolutionizing personalized education by tailoring learning experiences to meet each student's unique needs. Through advanced algorithms, AI can adapt educational content to align with individual learning speeds, preferences, and styles. Technologies such as adaptive learning systems, smart tutoring tools, and AI-powered assessments offer instant feedback and assist teachers in quickly identifying areas where students may be struggling. Additionally, predictive analytics help anticipate student outcomes, enabling early …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 3, 2025 · pp. 27–32 Read article
-
Ziegler-Nichols Method for the Optimization of PPID Parameters
Abstract: Present work proposed the controller with only one gain to be tuned. This is known as the Pseudo-Proportional Integral Derivative (PPID) controller. The PPID controller is proposed with fixed value of KC. This KC is obtained by Ziegler-Nichols tuning method. The PPID is applied to damped pendulum model. Comparison of fixed PPID is done with the existing Recursive Least Square (RLS) estimator method.Keywords: PID, Ziegler-Nichols tuning method, automatic tuning, stability-->
Published in Journal of Instrumentation Technology & Innovations · Vol. 4, Issue 3, 2014 · pp. 23–28 Read article
-
Integrated Qualitative Response Assessment System
Abstract: Examinations for universities and yearboards are traditionally administered offline, with a significant number of students opting for subjective exams. This preference stems from the labor-intensive nature of evaluating subjective responses, which requires considerable time and effort from educators. Additionally, subjective grading can be influenced by the evaluator’s mood, leading to inconsistencies. In contrast, multiple-choice and objective questions are prevalent in entrance and competitive exams due to their ease of automated …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 3, 2024 · pp. 18–24 Read article
-
Explainable Sentiment Mining Model in Mental Health Forums for Emotion Classification and Justification
Abstract: Understanding and interpreting emotions expressed in online mental health discussions plays a crucial role in enabling early detection of psychological distress and facilitating timely interventions. As individuals increasingly turn to digital platforms to share personal experiences and seek support, automated systems capable of accurately identifying emotional states can significantly assist clinicians, moderators, and support communities. This paper presents a deep learning–based sentiment mining and emotion classification framework specifically designed to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 22–32 Read article
-
Automated Evaluation of Descriptive Answers
Abstract: This paper offers a smarter system of automatic evaluation of descriptive responses in educational tests. The time-consuming aspect of testing with traditional manual marking, the subjectivity of that process, and the impossibility of scaling it makes it inapplicable, particularly to large academic environments. To resolve the issues, the proposed solution combines the methods of Natural Language Processing (NLP) and hybrid image-text processing on the responses of handwriting and typed answers. …
Published in Emerging Trends in Languages · Vol. 3, Issue 2, 2026 · pp. 1–9 Read article