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492 articles for “Machining”
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Convolutional Neural Network Algorithm for Stress Field Approximation for a Uniaxially Loaded Plate with Holes
Abstract: ABSTRACTKnowing the high stress concentration and its location around a hole is of practical importance in designing engineering structures, effective parameters can be selected in order to achieve minimum stress concentration around the hole(s). The visualisation of the stress distribution is done experimentally or numerically using finite element analysis (FEA). This study involved the approximation of the von Mises stress field distribution around regular holes in finite metallic plates, based …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 2, 2020 · pp. 1–12 Read article
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Identifying the Age Using Face Image Using DWT, LBP, SVM and k-NN
Abstract: ABSTRACTThe research related to identifying the age using face images has become progressively more important, due to the fact it has a multiplicity of potentially helpful applications. In this paper we survey the complete age synthesis or age estimation from face images techniques. Automatic facial age identifying is one of the main issues in pattern recognition which shows the age of human according to her/his facial expressions. Basically, age detection/estimation …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 2, 2020 · pp. 26–37 Read article
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Research Paper on Handwritten Character Recognition
Abstract: Handwriting recognition is the capacity of a machine to get and decipher penmanship contribution from numerous sources, for example, paper records, photos, touchscreen gadgets, and so on. Handwriting and automatic character recognition are an emerging area of research and find many applications in banks, offices and industries. The main objective of this project is to design an expert system capable of efficiently recognizing a format character of a particular type …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 1, 2021 · pp. 1–5 Read article
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Recognition and Detection of Content in Video Using OpenCV
Abstract: The emergence and continued reliance on the Internet and related technologies has resulted in massive amounts of data that can be analysed. Humans, on the other hand, do not have the cognitive abilities to comprehend such vast amounts of data. Machine learning (ML) is a mechanism that enables humans to process large amounts of data, gain insights into the data's behaviour, and make more informed decisions based on the analysis's …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 2, 2021 · pp. 42–47 Read article
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NLP in Sign Language Recognition Boon for Dumb People
Abstract: In order to help and provide facility to the persons who have vocal and hearing problems to communicate, this study provides a design innovative system. It discusses an improving technique for speech-to-sign translation and sign language recognition. The created method uses skin colour segmentation to extract indications from video sequences with a dynamic and minimally crowded background. It separates out the relevant feature vectors from dynamic movements and gives room …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 1–7 Read article
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Fuzzy and Intuitionistic Fuzzy Operators with Applications in Breast Tumor Classification
Abstract: Breast Cancer accounting for 14% of all cancers in women is the most familiar cancer among women in India. According to GLOBOCON data 2018, 1,62,468 new cases and 87,090 demises were accounted for breast cancer in India. The incidence rate of breast cancer starts rising in the early 30s and reaches a peak at the age of 50–64 years. In general, 1 in 28 women will develop breast cancer at …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 35–46 Read article
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Crop Disease Classification and Detection Using Deep Learning Approach
Abstract: Early diagnosis of plant diseases is essential because they have an effect on the evolution of their unique species. For the identification and classification of plant diseases, a variety of Machine Learning (ML) models have been employed, but with the advent of Deep Learning (DL), a subset of ML, this area of research now seems to offer substantial potential for increased accuracy. The 4th most common staple food consumed worldwide …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 22–27 Read article
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Agribot: An Agriculture Robot
Abstract: Agribot is a robot designed for agricultural purpose. As one of the trends of development on automation and intelligence of agricultural machinery in the 21st century, we are applying the idea of robotics technology in agriculture, since robotics technology is used in many of the fields such as defense, surveillance, medical field, industries and so on. In this paper, the robot system is used to develop the process of cultivating …
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 1, 2017 · pp. 14–17 Read article
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AI-Artificial Intelligence
Abstract: — In this paper, we pursue to offer an introduction to AI to policymakers and other stakeholders in the wider Internet ecosystem. The paper describes the basics of the technology behind AI, recognizes the key considerations and challenges surrounding the technology, and offers several high-level principles and recommendations to follow when dealing with the technology. Keyword: AI, Machine Learning, Key Consideration, Algorithms.
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 2, 2017 · pp. 21–31 Read article
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An Innovative Approach for Crop Disease Detection using Image Processing Technique and Pesticide Suggestion for Effective Crop Cultivation
Abstract: The yield of the crop is important as the farmers are the back bone of our country India. The bacterial attack is going to ruin the early detection of these diseases on leaf and the pomegranate fruit. The proposed framework automatically grades the disease on leaves of crops. The system efficiently instructs Information and Communication Technology (ICT) in Agriculture and hence contributes to Precision Agriculture. Currently, plant pathologists mostly trust …
Published in International Journal of Software Computing and Testing · Vol. 4, Issue 2, 2018 · pp. 4–7 Read article
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Feature Extraction and Evaluation of Colon Cancer Using PCA, LDA and Gene Expression
Abstract: At about 90 per cent of cases occurring in 50 people or older, colorectal cancer is the second most common type of cancer globally. Cancers may penetrate the deeper layers of colon and spread to other organs from the inner surface or from the muscular layer of the colon. The illness is lethal left untreated. Current screening of colon cancer is performed by colonoscopy. Visual examination of the colon and …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 26–32 Read article
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Review of Feature Selection Methods and Semi Supervised Feature Selection Algorithms for Classification
Abstract: Current evolution in technology has resulted in tremendous growth of data with respect to dimensionality and sample size. Knowledge discovery from these high dimensional data are becoming cumbersome. Though powerful machine learning algorithms are prevalent, noisy data, imperfect sensing and collection of data leads to poor and defective knowledge discovery. Noise and redundant features cannot be circumvented due to which data collection process is biased. Dimensionality reduction techniques namely feature …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 39–51 Read article
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A Review of Modeling and Data Mining Techniques Applied for Analyzing Steel Bridges
Abstract: The vibration response data measured from the structure contains uncertainties and requires different techniques for its analysis. The present study involves the comprehensive review of the model based and data mining techniques which are frequently applied by various researchers in past to solve various multi criteria decision making and analysis problems. The selection of suitable technique for specific problem is required to obtain accurate outcomes. The literature survey is done …
Published in International Journal of Software Computing and Testing · Vol. 7, Issue 1, 2021 · pp. 1–15 Read article
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Depression, Stress and Anxiety Prediction
Abstract: In the fast-moving up-to-date realm, intellectual well-being issues like anxiety, depression and stress have enhanced very coarse between common people. The system has entrenched information to label the sentences and make a decision itself as reaction to answer a question. The table contains chatterbot or chatbot information. It exists of four buttons as offset Time, Date, Questionnaires and Image Processing. Image preparing is used to monitor the exciting rank of …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 1, 2022 · pp. 13–19 Read article
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Satellite Image Classification using Deep Learning
Abstract: Satellite imagery is essential for lots of applications along with catastrophe response, regulation enforcement, and monitoring an environment. These packages require the guide identity of objects and facilities in imagery. Because the geographical areas to be protected are large and the analysts needed to do the searches are scarce, automation is required. Yet traditional item detection and category algorithms are too inaccurate and unreliable to clear up the problem. Deep …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 1, 2022 · pp. 29–36 Read article
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A Study of Application of No Regret Learning Algorithm for Development of a Career Counselling Software
Abstract: This paper explores the application of “no regret learning algorithms” in the development of a career counselling software, aimed at providing individuals with personalized and data-driven career guidance. By harnessing the power of machine learning methods, this groundbreaking approach provides a flexible and responsive system designed to aid users in making well-informed choices regarding their career trajectories. The software incorporates user profiling, reward modelling, continuous feedback mechanisms, and ethical considerations …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 37–43 Read article
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A Secured Distributed Database System Using Rijndael Encryption Algorithm
Abstract: There is a pressing need to secure distributed database system in order to address effectively some challenges, such as, no encryption of users’ access details in the database, which could be hacked by skilled hands, and also the security of the data is highly and threateningly compromised when using data encryption standard (DES) algorithm. This is because it has weak or semi-weak keys, inability of DES algorithm to eliminate the …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 1–8 Read article
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A Review of Different Iris Recognition Systems
Abstract: Recognition of a person based on the iris structure has become a trending authentication method. Iris recognition systems have many advantages as compared to other authentication methods such as accuracy, reliability and uniqueness and hence it is used in many applications. The main applications are, access control in laboratories and factories, identification for Automatic Teller Machines (ATMs), banks etc., border control in airports and harbors. This paper deals with the …
Published in International Journal of Analog Integrated Circuits · Vol. 4, Issue 2, 2018 · pp. 16–22 Read article
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SOFT COMPUTING A NEW USE OF SOFT COMPUTING, ARTIFICIAL INTELLIGENCE, FUZZY LOGIC & GENETIC ALGO-RITHM IN BIOINFORMATICS
Abstract: Abstract:Soft registering is make a few dormant in bioinformatics, particularly by producing minimal effort, low exactness (rough), great arrangements. Bioinformatics is an interdisciplinary research zone that is the edge between the natural and computational sciences. Bioinformatics settlement with calculations, databases and data frameworks, web innovations, man-made reasoning and delicate registering, data and calculation hypothesis, basic science, programming building, information mining, picture preparing, demonstrating and recreation, discrete arithmetic, control and framework …
Published in International Journal of Analog Integrated Circuits · Vol. 6, Issue 1, 2020 · pp. 12–26 Read article
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A Complexity in Design of Cyber-Physical Systems: Context framework
Abstract: Cyber-bodily structures play a key role in a huge quantity of application domain names which include transportation, energy, health and nicely-being, manufacturing, and indeed as a part of clever infrastructures and towns—consequently now not best referring to business domain names. This paper makes a specialty of the complexity of destiny CPS, intuitively interpreted as a machine feature making it tough, and sometimes even not possible, as it should be predicted …
Published in International Journal of Analog Integrated Circuits · Vol. 6, Issue 2, 2020 · pp. 1–10 Read article