Search
297 articles for “Automatic Detection”
-
Innovations in Forensic Imaging: Leveraging Deep Learning for Authenticity Verification
Abstract: The advent of digital media has necessitated advancements in forensic imaging, especially for the detection and verification of image authenticity. In this context, digital image forensics plays a critical role in identifying manipulated or counterfeit images. This paper presents a new method that uses deep learning techniques to enhance image forgery detection. The approach utilizes a convolutional neural network (CNN) to automatically learn and recognize the intricate features present in …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 2, 2024 · pp. 28–33 Read article
-
Design and Fabrication of Electric Car Jack
Abstract: Humans have always been enthralled by new scientific discoveries and technological advancements. The desire to produce something better in order to address the shortcomings of the prior iteration paved the path for ever-increasing technological demands. The automobile industry is another industry where new ideas or inventions are proposed on a daily basis to aid the industry's growth in all ways possible. With new innovations comes the obligation of constantly monitoring …
Published in Journal of Automobile Engineering and Applications · Vol. 8, Issue 3, 2021 · pp. 29–32 Read article
-
Automatic Chalk Dust Collector
Abstract: AbstractTeaching and learning in schools and colleges are done over the years by writing on boards. This project involves the design and construction of an automatic chalk dust collector by using vacuum technology. Cleaning the board using a duster increases the chalk dust particles in the classroom atmosphere. When concentration level of the chalk dust suspension exceeds a safe limit, occupants of the classroom, especially the teacher are exposed to …
Published in Journal of Open Source Developments · Vol. 6, Issue 2, 2019 · pp. 1–5 Read article
-
Response Time of LM35 Temperature Sensor in Designed Automated, Quick Responsive Fire Control System
Abstract: Despite many buildings have firefighting systems installed in them; many people are still losing their lives and property due to fire accidents. The cost of installation of these systems is usually high and most of them are operated manually. They are often located inside the buildings which may not be accessible during fire accidents. In this paper, an automatic cost effective prototype of a firefighting system for the detection and …
Published in Journal of Microcontroller Engineering and Applications · Vol. 3, Issue 1, 2016 · pp. 16–22 Read article
-
Improved Vision Based Algorithm for Deep Web Data Extraction
Abstract: Several systems and languages have been proposed for solving web-data management problems, but none of existing system addresses all the problems from a unified perspective. Most of the existing link analysis algorithms treat a web page as a single node in the web graph. However, in most cases, a web page contains multiple semantics and hence the web page might not be considered as the atomic node. New web content, …
Published in Journal of Web Engineering & Technology · Vol. 2, Issue 2, 2015 · pp. 28–37 Read article
-
A Review of Various Deep Learning Models for Classification of BrainTumor
Abstract: Brain Tumor is most challenging and life threading decease now these days. Timely accurately detection of brain tumor is play important role for patient health improvement and it increase life survival rate. Traditional of brain tumor detection relay heavily on manual interpretation of medicalimage, it is very time consuming and chance to human error in detection of brain tumor. Now in recent advancement of Artificial intelligence (AI), Machine learning (ML) …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 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
-
Environmentally Friendly Toll Plaza
Abstract: AbstractIn today’s world, we are facing a threat of depletion of petroleum. Various factors are responsible for this including congestion at the toll plaza. Environment friendly toll plaza is an idea which is based on saving energy resources and is totally environment friendly. It consists of a conveyor belt which operates on green energy and electricity. The e-payment method can be used to make payment of the toll through an …
Published in Recent Trends in Programming languages · Vol. 6, Issue 1, 2019 · pp. 6–10 Read article
-
Seal of Authenticity: Innovative Stamp Paper Management System
Abstract: The goal in this undertaking is to create the stamps Sheet Control System, a desktop tool for controlling the Seal Newspapers stock system.. The Stamp Inventory Management System (SPMS) refers to the system and processes to manage all the activities regarding the stamp papers. This kind of system might be employed to save client information, maintain stamps, update daily stamp sales information, store information about token entry sites, and even …
Published in Journal of Production Research & Management · Vol. 13, Issue 1, 2023 · pp. 18–24 Read article
-
Arduino Uno Based Automation of Railway Gate Controller
Abstract: A railway gate is crucial for security reasons. If the system has a flaw, it will endanger one or more lives. The goal of this project is to install an automatic railway gate at a level crossing to replace the gatekeeper-operated gates. It covers two topics. First, it deals with reducing the amount of time the gate is kept closed, and second, it aims to give road users safety by …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 1, Issue 1, 2023 · pp. 1–5 Read article
-
IOT Based Social Distancing & Monitoring Robot For Queue’s
Abstract: Social distancing is very important for stop spreading I gift a unique technique to mechanically discover pairs of humans in an exceedingly jammed situation in agency aren't adhering to the social distance constraint, i.e., concerning six feet of area between them. Our approach can make no assumption concerning the group density or pedestrian walking directions. The automaton consists of a three-wheel style system want to drive the robotic vehicle.. The …
Published in Recent Trends in Electronics Communication Systems · Vol. 9, Issue 2, 2022 · pp. 1–6 Read article
-
Advanced Eye State Analysis for Bus Driver Fatigue Detection
Abstract: By using this method, we want to increase road safety by reducing the number of accidents caused by drowsy driving. The automatic identification of driving weariness is handled by this technology, which is based on optical data and artificial intelligence. We locate, track, and look at the driver's face and eyes to measure PERCLOS (% of eye closure) with Soft Max for the neural transfer function. Driver fatigue is one …
Published in Trends in Opto-electro & Optical Communication · Vol. 13, Issue 1, 2023 · pp. 33–37 Read article
-
An Internet of Things Waste Collection System
Abstract: Waste littering has been the most problem in some beautiful cities today. However, the waste management agencies' poor management of waste made some cities unattractive, such as cities like Aba in Nigeria and the current state of Port Harcourt city. The automatic waste collector system is a smart waste system to manage and control the littering of waste all over the environment. The automatic waste control system automatically opens and …
Published in Journal of Microcontroller Engineering and Applications · Vol. 9, Issue 3, 2022 · pp. 30–40 Read article
-
General Depiction of An Efficient Bootstrapper-A Review
Abstract: Abstract: Bootstrapping is a technique which can automatically annotate emotional corpora. It is a pre-eminent job aimed by many companies who want to research the sentiments of products before purchase, or many companies that want to observe a view or opinion that is held or expressed by public about their brands. The significance of this research is expressed by the fact that, in the present era, people’s emotions has a …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 3, 2019 · pp. 9–12 Read article
-
Smart Car Parking and Maintenance Systems: Leveraging IoT for Efficient, Sustainable Urban Transport
Abstract: One of the main objectives of the smart city aspect is to facilitate sustainable mobility, and one vital component of that is the creation of an intelligent parking system. The solution to the parking issue cities face is the allocation and monitoring of parking spaces. Using the results of this survey, we have investigated this issue. As a result, an effective parking management system is now required. We can provide …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 3, 2024 · pp. 33–39 Read article
-
Envirosense Nexus: IoT-Driven Precision Waste Management for Urban Sustainability
Abstract: In modern urban environments, the improper handling of waste has become a significant issue, particularly due to insufficient and inefficient management of trash collection. This growing problem is leading to unhygienic conditions and pollution, requiring the introduction of smart waste disposal systems. To address this, we propose the development of an Internet of Things (IoT)-based intelligent trash bin that can autonomously detect, monitor, and report its waste levels. The system …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 2, Issue 2, 2024 · pp. 26–31 Read article
-
CNN-Based Diagnosis of Skin Cancer from Dermoscopic Images
Abstract: Skin cancer has become one of the diseases widely spread over the globe, with melanoma becoming a severe threat to one’s health. Detection of such diseases at the initial stage saves an individual from drastic damage. Using a Convolutional Neural Network (CNN) for detecting skin cancer through image classification as benign or malignant provides significant support to dermatological practice and reduces dependence solely on subjective visual examination. Dermatologists often face …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 1, 2026 · pp. 37–42 Read article
-
A Review on Different Techniques Used for Feature Extractions from Mammogram of Breast Cancer
Abstract: Breast cancer detection is still a complex and challenging problem. Mammogram contains low signal-to-noise ratio (SNR) and a complex structured background so identifying cancer tissues using this technique is a time consuming task even for expert radiologists. Therefore, there is still a need to enhance imaging in digital mammogram, where enhancement in medical imaging is the use of computers to make the image clearer. Studies show that relying on pure …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 3, 2014 · pp. 9–15 Read article
-
Automatic Identification of Obstacles and Crack Sensing Scheme in Rail Tracking System
Abstract: AbstractIn this paper, we have established into the identification of cracks and obstacles in rail tracking system. This system comprises of GSM modem, ultrasonic sensor, proximity sensor, PIC microcontroller to bring into the operation the crack detection and obstacle detection. The GSM modem contributes in transmission of railway geometric parameter of crack detection to the control room. Ultrasonic and Proximity sensors are used to detect the obstacles and crack in …
Published in Journal Of Network security · Vol. 7, Issue 2, 2019 · pp. 6–10 Read article
-
Fraudulent Data Detection of Credit Card by Using Random Forest Method to Calculate ROC and Confusion Matrix
Abstract: Credit card fraud defaults in trillions of dollars online merchants. Researchers have more and more complex methods of detecting fraud using algorithms for machine learning, but there are rare reports of hands-on implementations. We describe the implementation of an extortion discovery framework in a huge e-tail retailer. The paper looks at the combination of manual and robotized classification and offers experiences into the whole handle of advancement. The paper can …
Published in Journal of Advanced Database Management & Systems · Vol. 7, Issue 1, 2020 · pp. 15–22 Read article