Search
67 articles for “Classification-based directives”
-
Multinomial classification Identification for Domestic Violence Virtual Posts Based on Improved Convolution Neural Network (ICNN)
Abstract: AbstractDomestic violence isn’t only about the physical violence but further any conduct the purpose of which is to gain power and manage over a spouse, partner, girl/boyfriend or intimate own circle of family member which leads to the violation of human rights. Through the web-based networking media domestic violence crisis support (DVCS) have demonstrated fundamental help directions to abused people and their families. The unrivaled outcomes in online content description …
Published in Journal Of Network security · Vol. 8, Issue 3, 2020 · pp. 1–10 Read article
-
An Overview of Artificially Generated Neural Networks Inside the Brain’s Structure in an Alzheimer’s Disease Patient
Abstract: Alzheimer’s disease produces significant neuronal loss, while the precise mechanisms and timing are yet unknown. Other types of cell death, such necroptosis, parthanatosis, ferroptosis, and cuproptosis, need further investigation. Based on brain images of people with mild cognitive impairment, this study assesses artificial neural networks (ANNs) used to diagnose and predict Alzheimer’s disease (AD). This research was conducted considering growing recognition among researchers and medical professionals regarding the importance of …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 2, 2025 Read article
-
Stock Market Prediction Using Machine Learning: Techniques, Challenges, and Future Directions
Abstract: The continuous advancement of machine learning (ML) technologies has significantly transformed the field of financial forecasting, particularly in the area of stock market prediction. The ability to accurately forecast stock price movements and market trends plays a crucial role in supporting informed investment strategies and effective risk management. This paper provides a comprehensive review of recent developments in the application of ML techniques for predicting stock market behavior. It classifies …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 1, 2026 · pp. 10–16 Read article
-
Content Based Document Image Indexing and Retrieval using Hybrid of Quadtree and Sparse Matrix Structure
Abstract: The fundamental consideration in the design & development of a content based image retrieval system is to extract the image features that best represent the image contents in a database. Currently several image indexing approaches based on Quadtree do exist. In this paper, the proposed approach is primarily concentrating on database classification for efficient image representation and effective retrieval using Quadtree decomposition technique augmented by sparse based index structure. In …
Published in Journal of Advanced Database Management & Systems · Vol. 5, Issue 2, 2018 · pp. 18–27 Read article
-
Recent Routing Protocols in UAV Networks: Classifications, Challenges, and Future Directions
Abstract: Routing protocols enable reliable communication in Unmanned Aerial Vehicle (UAV) networks, particularly Flying Ad-hoc Networks (FANETs), amid high-speed 3D mobility, dynamic topologies, and energy limits. Key challenges include intermittent links due to mobility, limited energy resources, variable network density, and the need to minimize end-to-end delay while maximizing throughput and fault tolerance. This paper classifies recent UAV routing protocols into topology-based routing protocols, position-based routing protocols, and hierarchical-based routing protocols. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 2, 2026 Read article
-
Ground Water Studies of Vijayagopalapuram Village, Prakasam District, Andhra Pradesh, India Using Geospatial Technology
Abstract: Vijayagopalapuram, a revenue village in Kanigiri mandal of Prakasam District, Andhra Pradesh, India is a severely drought affected area. This village lies between longitude 79°27'12" to 79°30 45" E and latitude 15°16'40" to 15°18'45" N with geographical area of 857 ha. The average annual rainfall of Kanigiri mandal is 813.4 mm. The main lithological units in the Vijayagopalapuram village include Quartz-Chlorite-Sericite (QCS) Schist and Quartzite (DQt) rocks. These rocks represent …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 10, Issue 1, 2021 · pp. 41–49 Read article
-
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
-
AIS-based Anomaly Detection for IUU Fishing Activities
Abstract: The future of the Earth’s fish businesses is seriously threatened by the continuous use of illegal or illicit, unreported, and unregulated (IUU) fishing methods, a growing global demand, and deteriorating ocean ecosystem health. The livelihoods of legal fishing are also harmed by IUU fishing. The ongoing efforts to develop sustainable fisheries policies are also hampered by this. In order to manage fishery resources and ensure the safety of maritime traffic, …
Published in Current Trends in Information Technology · Vol. 13, Issue 1, 2023 · pp. 22–36 Read article
-
A Review of AI-Based Intrusion Detection Systems for Mobile Ad Hoc Networks (MANETs)
Abstract: Mobile Ad Hoc Networks (MANETs) comprise wireless networks that lack any conventional infrastructure . Their chief features include highly changing network topologies, lack of centralized administration, and open nature of communication, which collectively result in making MANETs of the wireless kind very susceptible to a diverse range of cyber-attacks like blackhole, greyhole, wormhole, flooding, Sybil and denial-of-service (DoS) among others. Conventionally, Intrusion Detection Systems (IDS) relying on static rule-based methods …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
-
AI Powered Fault Detection in DC Motor using STM32
Abstract: This work presents the design and implementation of an embedded artificial intelligence system for real-time fault detection in a direct current (DC) motor using the STM32 Nucleo- F411RE microcontroller. The objective of the study is to develop a low-cost and efficient predictive maintenance solution capable of identifying abnormal motor behavior at an early stage. Vibration and temperature signals are acquired using an MPU6050 sensor and processed directly on the microcontroller …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 39–49 Read article
-
ML-Driven Defect Detection in Additive Manufacturing of Polymer Composites Using Thermal Imaging
Abstract: Polymer-based flexible biosensors have emerged as a pivotal technology in continuous health monitoring, yet their deployment in real-world settings is often hindered by undetected micro-defects and signal distortion caused during fabrication or usage. Existing diagnostic frameworks typically rely on post-hoc processing or bulky instrumentation, failing to offer scalable, real-time detection during additive manufacturing workflows. This study introduces an end-to-end, thermographic imaging-integrated framework for in-situ defect identification during the additive manufacturing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 201–215 Read article
-
AI-Powered Traffic Management System
Abstract: An artificial intelligence (AI)-based traffic management system is an innovative and intelligent project for improving urban traffic control and emergency response using AI and artificial vision. With the rapid increase in vehicle numbers and urban populations, traditional traffic management systems are unable to effectively address all real-time traffic situations due to congestion, fuel consumption, and emergency deceleration. To address these limitations, this project utilizes the YOLOv8 (You Only Look Once, …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 14–19 Read article
-
Bearing Defect Diagnosis: An Approach for Manufacturing Industries Using Wavelet Transform Based Features
Abstract: To maintain reliability in the manufacturing units, industries have concentrated their attention on the condition based maintenance. Fault detection and diagnosis are the two of three condition based maintenance mainstays. Bearing is one of the most important and essential components of the rotating machines. Hence, the researchers have shown their interest in bearing fault detection and diagnosis from the last few years. They mainly use bearing vibration as fault characteristics …
Published in Journal of Microelectronics and Solid State Devices · Vol. 4, Issue 1, 2017 · pp. 15–21 Read article
-
Baggage Detection and Recognition Using Local Tri-Directional Pattern
Abstract: Nowadays, pattern-based image retrieval algorithms are gaining popularity just because of their uniqueness. There are several issues in the previously proposed systems. The proposed system resolves issues highlighted in the literature. Our proposed system is tested on two image datasets ILIDS and PETS 2006. LTDP provides good results as compared to LBP in baggage detection on two classes that either bag is present or not in an image because LTDP …
Published in International Journal of Mobile Computing Technology · Vol. 1, Issue 1, 2023 · pp. 8–17 Read article
-
Aerodynamic Effects of Wind on Multi-Story Structures: A Height- and Terrain-Based Analysis
Abstract: Wind loads are a critical consideration in the structural design of buildings, with direct implications for safety and serviceability. This study investigates the aerodynamic behavior of reinforced cement concrete (RCC) buildings under varying heights and terrain conditions, in accordance with IS: 875 (Part 3): 2015. 12 structural models representing 20 m, 35 m, and 50 m tall buildings were analyzed using extended three-dimensional analysis of building system (ETABS) across four …
Published in Journal of Offshore Structure and Technology · Vol. 12, Issue 3, 2025 · pp. 1–14 Read article
-
Advancements in AI-Driven Sound Spectrogram Analysis: From Deep Learning to Quantum and Neuromorphic Processing
Abstract: The rapid advancement of artificial intelligence (AI) has significantly reshaped the field of audio signal processing, with sound spectrogram analysis emerging as a central research focus. Spectrograms provide a rich time–frequency representation of audio signals, making them particularly suitable for data-driven learning approaches. This paper presents an in-depth and original review of modern AI-based techniques applied to spectrogram analysis, highlighting their growing impact across critical application areas such as healthcare …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 01–06 Read article
-
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
-
Swarm-Enabled AI for Smart Mobility and Sustainable Transport
Abstract: The significant issues facing the modern urban infrastructure are the management of road traffic problems, such as severe traffic congestion, the detection of unsafe driving behavior, and road safety. The traditional ground-based surveillance systems will be helpful, but they will reach their limits in large and dynamic environments. It is because of predetermined perspectives, blindness, and the inability to scale. To designate these problems, the present study proposes a traffic …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 1, 2026 · pp. 33–38 Read article
-
Performance Evaluation of Direction of Arrival Estimation in Smart Antenna
Abstract: Direction of arrival (DOA) estimation has typically played a key role in signal processing. Its task is to find the directions impinging on an array antenna to increase the performance of the received signal. To use DOA estimation methods that are applicable to most environments has become the key of technique implementation. The traditional algorithms can get superior performance for DOA estimation in the rich receiving conditions, but they are …
Published in Current Trends in Signal Processing · Vol. 6, Issue 3, 2016 · pp. 39–48 Read article
-
Data Handling Algorithms for the Healthcare System for the Prediction of Diabetes in Health Data Science (HDS): A Review Report
Abstract: In recent years, diabetes has become the biggest disease in different countries around the world. This disease is caused by adulteration in food ingredients, unhealthy food habits, a lack of physical exercise, and changing the lifestyle every time without a routine chart. The main objective of this review paper is to provide a proper understanding of the machine learning algorithm used in the healthcare system to handle diabetic patients' data. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 1–10 Read article