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208 articles for “canny–deriche detector”
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A Short Review on Role of Nanotechnology in Daily Life
Abstract: Nanotechnology is latest technology of 21st century. It has impacts on each field of life. Below mentioned are various fields in which this technology is playing its positive role. Nanotechnology is predicted to change medicinal services by filling in as a novel technique for disease analysis as well as prevention, quality treatment, drug delivery plus gene therapy. In nanoelectronics, the look for a successor to Complementary metal–oxide–semiconductor (CMOS) innovation is …
Published in Research and Reviews : Journal of Computational Biology · Vol. 8, Issue 3, 2019 · pp. 24–33 Read article
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IoT-based Smart Transportation System for Passenger Comfort
Abstract: Industry 4.0 now includes a far wider range of topics, including smart transportation management, smart cities, and smart healthcare. It is important to emphasise that among Industry 4.0’s main objectives are innovation, the adoption of new business models, and the development of new revenue sources. Vehicle tracking data is vital in intelligent transportation systems (ITS) for both drivers and passengers who want to understand where they are to cross or …
Published in Research and Reviews : Journal of Computational Biology · Vol. 11, Issue 2, 2022 · pp. 28–35 Read article
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Prediction of Resectability and Surgical Outcome of Periampullary Tumors
Abstract: Background: Pancreatic cancer is a devastating malignancy with nearly as many deaths as newly diagnosed cases each year with 5-years overall survival rate approximately 7%. Our aim was to assess prediction of respectability of patients with periampullary tumors to avoid unnecessary laparotomy in inoperable patients and evaluation of early outcome of surgical intervention. Methods: 23 patients were included in this study. All the patients were subjected to assessment by contrast …
Published in Research and Reviews : Journal of Surgery · Vol. 7, Issue 1, 2018 · pp. 14–21 Read article
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Determination of Pesticide Residues in Agricultural Soil using High Performance Liquid Chromatography (HPLC), Gazipur District, Bangladesh
Abstract: This study was undertaken to determine the presence of pesticide residues in some agricultural soils of Gazipur district in Bangladesh. The collected soil samples were analyzed for some selected pesticides such as DDT, methoxychlor, acephate, fenthion, fenitrothion, parathion, ethion, carbaryl, carbofuran and cypermethrin by using high performance liquid chromatography (HPLC) with PDA detector. The results showed that none of the soil samples were contaminated with organochlorine and pyrithrium pesticides. Soil …
Published in Research and Reviews: A Journal of Toxicology · Vol. 5, Issue 3, 2015 · pp. 1–7 Read article
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A Reproducible Low-cost Adaptive Cruise Control Platform with Lidar–Ultrasonic Sensor Fusion and Timer-conflict-free Servo-Scanned Blind-spot Detection on Arduino UNO
Abstract: Road traffic deaths caused by driver distraction and inadequate surroundings remain a big problem for preventable deaths. This paper talks about designing and testing an affordable, easy-to-copy Adaptive Cruise Control (ACC) system. It uses LiDAR-ultrasonic sensors to figure out how far things are in front of the car, and a servo-actuated, dynamically scanned blind spot detector. All of this runs on a single Arduino Uno. To measure front distance, they …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 2, 2026 · pp. 58–70 Read article
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Traffic Density Estimation Using Image Frames in Python
Abstract: Traffic congestion is a critical challenge in modern urban environments, leading to significant delays, environmental pollution, and increased accident rates. With the rapid growth of vehicle populations in metropolitan areas worldwide, the need for intelligent and automated traffic monitoring systems has become increasingly urgent. Traditional monitoring approaches, such as inductive loop detectors and manual surveillance, are limited in scalability, deployment cost, and adaptability to dynamic traffic scenarios. This paper presents …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 38–45 Read article
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Enhancing Explainability in Machine Learning Based Spam Email Detection Using LIME and SHAP
Abstract: Spam emails represent a continual and irritating cybersecurity issue due to the fast expansion of cyberspace communication. These messages are unwanted and, in some cases, dangerous, such as phishing schemes, identity theft, and the propagation of malware. They cause severe financial and data security threats to individuals and organizations. Conventional spam detection techniques, such as rule-based spamming, blacklisting, and keyword classification, are techniques that find it difficult to match adaptive …
Published in Journal Of Network security · Vol. 14, Issue 2, 2026 · pp. 35–48 Read article
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A Simple Optical Sensor Based System For Monitoring Plant Health Status
Abstract: AbstractPlant nutrition is the basic need for plant growth and productivity. Nutrient monitoring of plants is the key factor for farmers and agriculturalists. Nitrogen is a necessary element for plant growth and development and it is a major component of chlorophyll in plant leaves. Chlorophyll content of a plant is one of the most important natural indicators of plants nutritional stress and the overall health status of plants. Several sensors …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 1, 2019 · pp. 89–98 Read article
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Blue Eye Technology
Abstract: In social interaction with other human beings which delivers information by using emotion and facial expression play about their mood that is important part in communication. The “Blue Eyes Technology” creates sensory abilities like those of human beings which enable the computer to gather facts about humans and interact with others. This paper implements the detection of feelings or emotion like fear, surprised, happy, sad and anger; it defines by …
Published in Journal of Advancements in Robotics · Vol. 7, Issue 1, 2020 · pp. 15–18 Read article
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Detecting Hateful Content on Social Media: A Survey
Abstract: Spreading hatred over social media is a growing menace. Whether in the form of discrimination, cyberbullying or trolls, malicious posts have pestered users throughout the globe. To overcome this nuisance, an automated hate text detector has almost become a necessity. Despite a few inherent limitations that hate speech detection has, there is work going on in this field,andthe scope for progress remains. Besides various techniques used in the state-of-the-art, this …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 3, 2020 · pp. 1–9 Read article
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Detect the Edges of Hygienic Images and De-Noised Images Using Meta Heuristic and F-Ratio
Abstract: AbstractEdge detection is one of the important parts of image processing. It is essentially involved in the pre-processing stage of image analysis and computer vision. It generally detects the contour of an image and thus provides important details about an image. So, it reduces the content to process for the high-level processing tasks like object recognition and image segmentation. The most important step in the edge detection, on which the …
Published in Journal of Advances in Shell Programming · Vol. 4, Issue 2, 2017 · pp. 19–25 Read article
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Performance Evaluation of PCA Based Back Propagation over PCA Based Euclidian Distance for Video Images
Abstract: Key frame selection aims at reducing amount of data and retrieve information desired from a video. Video summarization aims at reducing the amount of data in order to retrieve information from a video. In this paper, we present an innovative approach for key frame selection; and a face detection and recognition from video sequence. For face detection from video, first we select the key frames and then detect multiple faces …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 1, 2016 · pp. 24–31 Read article
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Faulty Object Detection by Image Processing Based on Modified Back-Propagation Algorithm of Artificial Neural Network
Abstract: The conventional algorithms such as canny edge detection require so much computation which makes it more time consuming. Hence it is not used for industrial applications such as damage detection because each product should be analyzed in a fraction of seconds so that the manufacturing rate of the industry should not be affected. Hence Artificial Neural Network can be used for edge detection. Though it requires a lot of time …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 19–25 Read article
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A Novel Blind Restoration Technique Using Different Edge Detection Methods
Abstract: Image restoration is a field of image processing in which we recover an original image from a degraded image. Objective of this paper is to compare different blurred and noisy images which are reconstructed with the help of blind deconvolution algorithm using different edge detection methods such as Canny, Sobel, Prewitt, Roberts, Laplacian. Initially original image is blurred using Gaussian filter. After that in the edges of blurred image ringing …
Published in Journal of Operating Systems Development & Trends · Vol. 1, Issue 2, 2014 · pp. 1–5 Read article
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Detecting Spambot as Associate Degree Antispam Technique for Net Bulletin Board System
Abstract: Spam is one in every of the foremost widespread and conjointly the most relevant topic that must be understood within the current state of affairs. Everybody whether or not it's going to be a little kid or associate degree senior citizen square measure exploitation emails everyday all round the world. The state of affairs that we have a tendency to square measure seeing is that just about no one is …
Published in Journal of Operating Systems Development & Trends · Vol. 2, Issue 1, 2015 · pp. 25–29 Read article
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Analysis of DTMF Frequency on IC MT8870D
Abstract: DTMF is also known as Dual tone multi-frequency. DTMF Signals make use of touch-tone mobiles with various other parts. Since analog devices are speedily creature replaced through digital devices, digital DTMF decoders with higher quality have happened to the ideal replacement. In this paper, an analysis of DTMF under the DTMF detector designs is studied on ICMT8870D. DTMF working is a based on the concept of analog telephone dialing. In …
Published in Recent Trends in Parallel Computing · Vol. 6, Issue 3, 2019 · pp. 1–5 Read article
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Malware Detection Using Data Mining
Abstract: In the digital world, everything is getting digitalized. Mobile devices, such as smartphones and handsets, are becoming increasingly popular, increasing criminals' appeal as targets for mobile malware. Consequently, in order to properly identify mobile malware, an antimalware detector plays a significant role. Prior to this, we concentrated on developing a behavioural analysis based on an ontology. To learn more about mobile malware, to assist end users in using their mobile …
Published in Journal of Advances in Shell Programming · Vol. 9, Issue 3, 2022 · pp. 9–13 Read article
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Face Mask Detection in Real Time using OpenCV and Python
Abstract: COVID-19 has brought the entire world to a halt. Doctors, healthcare workers, and many other services were fighting this pandemic on the front lines. Wearing a face mask in public places is more effective, according to the World Health Organization (WHO). According to the reports, wearing the masks while working clearly shows that it reduces the risk of transmission. We will be using the dataset to build a face mask …
Published in Journal of Open Source Developments · Vol. 9, Issue 1, 2022 · pp. 23–29 Read article
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Four Vital Data Focused ICU-Patient Monitoring System using 32-bit SoC and IoT Protocol
Abstract: Revolution of 5G communication system has already jolted an outstanding impact in machine-tomachine communication by strong interconnection and human machine interaction. High-speed data transfer allows sensor-based devices to respond quickly and ensures accurate data transfer process. Internet of things (IoT) is making billions of physical tasks easy and real-time operating. Trends in integration of body sensors and sensor-based cyber physical systems have already enabled IoT, interfaced with 5G communication system. …
Published in Journal of Web Engineering & Technology · Vol. 8, Issue 2, 2021 · pp. 39–48 Read article
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Content-based Image Retrieval using SURF Feature Point Descriptor and Local Binary Pattern with Color Histogram
Abstract: An important research issue in multimedia technology is the retrieval of similar objects. Most of the content-based image retrieval (CBIR) uses the low-level features such as color, shape and texture to extract the features from the images. A short time ago, the interest points are used to extract the most relevant images with different view point and transformations. Speed up Robust Feature (SURF) is robust and fast interest points detector/descriptor …
Published in Journal of Open Source Developments · Vol. 2, Issue 2, 2015 · pp. 9–15 Read article