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1987 articles for “Lap Splice Detection” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Detection of Cervical Cancer Using lncRNA Expression Data and Detection of Possible Biomarkers with Bagged CART Machine Learning Method
Abstract: Aim: Cervical cancer (CC), one of the most common gynecological cancers, occurs when the cell layer that forms the surface of the cervix turns into abnormal cells. This type of cancer ranks fourth in cancer-related female deaths, and 3.6% of women living in developed countries suffer from this disease, while approximately 15% of women living in underdeveloped countries are exposed to this cancer. The primary means of reducing the high …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 1, 2023 · pp. 12–20 Read article
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Efficient Fault Detection in Power Transmission: A Review of Three-Phase Line Fault Detection with Hybrid Energy using MATLAB
Abstract: In urban regions, the density of power demand has significantly increased recently. Large-scale subterranean power cable installations are beginning to take the place of overhead transmission lines everywhere in the world because of environmental concerns in highly populated areas. The present project's primary objective is to use MATLAB to create a simulation model that includes 3ph symmetrical and unsymmetrical defects. Some have proven to be effective in detecting errors while …
Published in International Journal of Electrical Power and Machine Systems · Vol. 1, Issue 1, 2023 · pp. 42–47 Read article
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Natural Language Processing-Based Plagiarism Detector
Abstract: Plagiarism is the act of taking another's work and claiming it as his/her own without giving the credit. Plagiarism is a grave concern in many fields like education, literature, business, etc. The project aims for text and image plagiarism detection employed by a web application containing four modules. Text plagiarism is detected when the input is either text or PDF. For PDF, the text extraction is done from the PDF …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 1, 2024 · pp. 27–35 Read article
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Smart Motion Detection System using IoT: A NodeMCU and Blynk Framework
Abstract: A motion detector is a device that senses movement and triggers an action, such as turning on a light or sounding an alarm. Usually, motion detectors have been wired into home security systems, but with the advancements in IoT technology, they can now be connected to the internet for remote monitoring and control. This makes it possible to secure our homes and workplaces in a more practical and adaptable manner. …
Published in Journal of Microelectronics and Solid State Devices · Vol. 10, Issue 3, 2023 · pp. 1–8 Read article
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Forest Fire Detection System
Abstract: The IOT industry is rapidly growing in the current scenario. Each one of us now understands the significance of Internet of Things. At present, it is being used in almost all industries making our lives a bit easier. Forest fires have become a massive threat across the globe, causing numerous negative impacts on human habitats and forest ecosystems. Climatic changes and the greenhouse effect are among the consequences of such …
Published in Journal of VLSI Design Tools and Technology · Vol. 13, Issue 1, 2023 · pp. 1–5 Read article
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Obstacle Detection for Automobiles using IoT
Abstract: In today’s world most of the time we encounter the road accidents and these are rapidly increasing day by day. The major cause is the carelessness of the people, especially those people, who do not follow the traffic rules. The metropolitan cities where there is huge population and people having more automobiles. we need to understand how precious our life is and for that we need more advancement in our …
Published in Journal of Communication Engineering & Systems · Vol. 11, Issue 3, 2021 · pp. 15–20 Read article
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Intrusion Detection Using ANN Machine Learning for MIM, DOS, BO
Abstract: Intrusion detection system is a software program developed to use on computer systems so that it can identify intrusion attack with help of different techniques like the machine learning algorithms. The variety of assaults over the internet has multiplied through the years because of the development and smooth availability of computing technologies. Attackers develop new attack types, so in order to save you from those assaults, intrusion detection systems must …
Published in Journal Of Network security · Vol. 10, Issue 1, 2022 · pp. 46–53 Read article
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Diagnostic Laparoscopy in Management of Acute Abdomen
Abstract: Acute abdomen means the patient complains of an acute attack of abdominal pain that may occur suddenly or gradually over a period of several hours and presents a symptom complex which suggests a disease that possibly threatens life and demands immediate or urgent diagnosis for early treatment. It is very important to make the diagnosis as early as possible. Delay will definitely worsen the condition of the patient and may …
Published in Research and Reviews : Journal of Surgery · Vol. 4, Issue 3, 2015 · pp. 8–13 Read article
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Interval Laparoscopic Appendectomy: An Observational Study from a Tertiary Care Centre of a Developing Nation
Abstract: Background: Laparoscopic surgery requires an elaborate console and sophisticated laparoscopic instruments such as endoscopic stapler, endoscopic clip, Ligasure, and Harmonic scalpel which attribute to higher cost of surgery. The aim of this prospective observational study was to evaluate the safety profile and outcome of Laparoscopic Appendectomy using basic laparoscopic instruments and low-cost suture materials in a tertiary care hospital of a developing nation. Materials and Methods: This was an observational …
Published in Research and Reviews : Journal of Surgery · Vol. 11, Issue 1, 2022 · pp. 13–18 Read article
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Face And Spoofing Detection Via Genetic Algorithm-Based Feature Selection with MTCNN
Abstract: Face detection and liveness detection in various environments such as different lighting effects, occlusion, complex backgrounds, and different poses and angles play an important role in facial recognition or detection purposes. In this research paper, propose an improved algorithm for face detection and liveness, spoofing detection via genetic algorithm for feature selection, and mtcc detecting the edge of the facial image by Canny filter and spotting the face from the …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 1, 2025 · pp. 17–26 Read article
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Development of a predictive model for determining mechanical properties of nano Al2O3 reinforced adhesive bonded SS304 single lap joint
Abstract: In this study, single lap joints were prepared by adding nano-additives (Al2O3) in the quantity of 3 wt % in the phenolic resin, and the overlap length was varied to observe the effect on joint engineering properties. In the experiments, a single component system of a specific grade of phenolic resin was used as a binder, and aluminum (AA8011), as well as stainless steel (SS304), was used as adherends. The …
Published in Journal of Polymer & Composites · Vol. 10, Issue 3, 2022 · pp. 20–28 Read article
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T-π Network Simulation and Thevenin- Norton Equivalent Circuit Values From Laplace Description Using Pspice Software
Abstract: From the conversion methods of T-π (star-delta) for impedances circuits, the behavioral modeling of Pspice simulation program is used to obtain equivalent circuits using LAPLACE option. The conversions are verified for two types of circuits by obtaining AC values of voltages and currents at various nodes and branches using Pspice computer simulations. There are many ways of expressing Thevenin/Norton equivalent circuit parameters such as (a) as real numbers for pure …
Published in Journal of Semiconductor Devices and Circuits · Vol. 9, Issue 2, 2022 · pp. 43–58 Read article
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Evolving Perspectives: Innovations in Object Detection and Identification
Abstract: One of the most important developments in computer vision has been the creation of object detection and identification systems, which have allowed robots to perceive and understand visual data similarly to humans. These systems locate each object by drawing a bounding box around it, in addition to detecting and classifying every object in an image or video. This study suggests a novel method for item identification and detection that makes …
Published in Trends in Opto-electro & Optical Communication · Vol. 13, Issue 3, 2023 · pp. 23–27 Read article
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Face Detection and Recognition Using MTCNN and FaceNet
Abstract: Face detection and face recognition are major tasks in the field of computer vision with several real-world applications and many products being developed in the same field. This study gives a detailed implementation of the product that is developed for accurate detection and recognition of faces along with audio output of the face detected. This development would act as a base for a few future products that can be developed …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 132–140 Read article
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Drone-based Fire Detection and Crowd Management System using Image Processing
Abstract: AbstractNowadays, fire outbreaks are common issues which cause severe damage towards nature and human properties hence fire detection system are designed to discover fires early in their development when the time will still be available for the safe evacuation of occupants. Early fire detection in the event of an outbreak is pivotal to prevent loss of life and properties. Fire is necessary and profitable to humankind life, but it also …
Published in Journal of Electronic Design Technology · Vol. 10, Issue 2, 2019 · pp. 30–34 Read article
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Automatic Surface Defect Detection for Ceramic Tiles Using Digital Image Processing: A Literature Review
Abstract: The term quality is the most important factor in many industries. Whole business and the brand name are dependent upon the quality of produced goods. Defect detection is generally done manually while manufacturing may be fully automatic. Therefore, our aim is to enhance quality control by integrating various image-processing techniques, before dispatching of the final product to make no rejection rate. An automated system is expensive at the installation but …
Published in Journal of Mechatronics and Automation · Vol. 5, Issue 2, 2018 · pp. 1–6 Read article
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UNDERGROUND CABLE FAULT DETECTION CAR
Abstract: Abstract:-Underground cables along with additional buried assistance can be identified and examinedusing an apparatus known as a cable detector. This is carried out by passing a signal into the earth andthen receiving it back through an antenna. Utilising the received signal endurance, the exact positionand depth of the underground question are found. In doing mining and construction work, this helpsprevent unintended injuries. There are numerous different types of underground cable …
Published in Trends in Mechanical Engineering & Technology · Vol. 13, Issue 1, 2023 · pp. 17–21 Read article
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Pedestrian Gait Parameter Measurement Using a Cascade of Edge and Corner Detection Technique
Abstract: ABSTRACTMost modern surveillance systems currently rely upon Closed Circuit TV feeds monitoring system. This report documents a new approach towards automating pedestrian recognition within typical video footage. The proposed work shows how the gait parameters can be measured from the video footage using the mathematical theory of Geometry and computer vision and pattern recognition technique which can be further used for recognize individuals. When people walk normal to the viewing …
Published in Journal of Computer Technology & Applications · Vol. 1, Issue 1-3, 2011 · pp. 75–88 Read article
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Network Intrusion Detection System using Machine Learning and Deep Learning Approach
Abstract: Networks play a significant part in today’s world; fast internet and communication industries result in vast network size and data expansion. Furthermore, attackers aiming to launch various cyberattacks inside the system cannot be neglected. An IDS keeps track of the network’s software and hardware security to preserve its privacy, integrity, and accessibility. Despite the significant efforts of the researchers, current IDS continue to confront challenges in terms of accuracy rate, …
Published in Journal Of Network security · Vol. 10, Issue 1, 2022 · pp. 7–34 Read article
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Anomaly Based Intrusion Detection Using Machine Learning Techniques
Abstract: Detection of Cyberattacks/anomalies in a network to build an efficient Intrusion Detection System (IDS) is very important. A system called an intrusion detection system (IDS) monitors network traffic in order to find suspicious activity and sends out signals when it is noticed. Monitoring and data analysis are designed with the objective of finding any network or system intrusions. Machine learning methods can anticipate both known and unidentified attacks. This project …
Published in Journal Of Network security · Vol. 10, Issue 2, 2022 · pp. 1–8 Read article