Ali Imam Abidi
Sharda University
Path tracingImage (mathematics)AgricultureSupport vector machineSupine positionAgricultural productivityCoronal planeCharacter (computing)TracingIterative and incremental developmentFeature selectionEnergy minimizationPattern recognition (psychology)Artificial intelligenceOptical flowTemplate matchingPixelImage registrationSagittal planePattern recognitionHaarMNIST databaseWeb pageInformation retrievalHidden Markov modelDiseaseImmunityQuality (business)DeformityMoving least squaresScope (project management)Point (geometry)Text categorizationComputer visionPreprocessorComputer scienceProcess (engineering)WaveletArtificial neural networkFeature extractionSentiment analysisFeature (computer vision)Selection (genetic algorithm)BiologyAgricultural engineeringSegmentationComputer hardwareImage processingDetectorProcess (computing)
7Publications
1H-index
3Citations
Publications 8
Newest
Sep 3, 2021 in INFOCOM (International Conference on Computer Communications)
#2Ali Imam Abidi (Sharda University)H-Index: 1
Last. Megha Chhabra (Sharda University)H-Index: 4
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#1Abha Kiran Rajpoot (Sharda University)H-Index: 1
#2Parma Nand (Sharda University)H-Index: 12
Last. Ali Imam Abidi (Sharda University)H-Index: 1
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Feature Selection (FS) is the selection of certain features by using a criterion assessment application. In the age of technological advancements and innovations, there has been a significant rise in the use of different social networking applications such as Facebook, YouTube, Twitter, and e-commerce platforms such as Amazon, Alibaba, Flipkart, and others. It has increased the use of sentiment analysis in the different real-world applications so that there is a classification of text in differe...
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#1Naina Nisar (Sharda University)
#2Anjali Awasthi (Sharda University)
Last. Ali Imam Abidi (Sharda University)H-Index: 1
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Agriculture is not just a sustaining source in present times, but it has become much greater than that. Agricultural productivity reflects a broad part of economic output, which is the major cause that recognition of disease plays a major task. The quantity and quality of agricultural productivity gets affected and reduced by plant diseases. Nowadays, in monitoring large area of crops, detection of diseases of plants receives much greater attention. The symptoms and signs of diseases are apparen...
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#1Ali Imam Abidi (Sharda University)H-Index: 1
#2Sanjay Kumar Singh (IIT: Indian Institute of Technology (BHU) Varanasi)H-Index: 80
This chapter proposes an automatic registration process for tracing of the deformity path of the thoracic region based on feature detector cum descriptor Speeded Up Robust Feature (SURF) and Moving Least Squares (MLS). Corresponding control point pairs or landmarks in image pairs or groups can be used to define the deformation with respect to time, point of view, or modality. The manual definition of the number of control points in an image such that it is enough to define all kinds of deformati...
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#1Ali Imam Abidi (Sharda University)H-Index: 1
#2Sanjay Kumar Singh (IIT: Indian Institute of Technology (BHU) Varanasi)H-Index: 80
The chapter presents a methodology that involves an automatic registration process for tracing deformity paths of the thoracic region between full inhale and exhale positions based on Hessian-matrix-based feature detector and Haar wavelets based descriptor along with Optical Flow Motion (OFM) estimation based point tracker technique.
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#1Ali Imam Abidi (Sharda University)H-Index: 1
#2Sanjay Kumar Singh (IIT: Indian Institute of Technology (BHU) Varanasi)H-Index: 80
The idea of deformable image registration (DIR) has been explored for a thoracic CT (computed tomography) image database of ten subjects. Thoracic CT image acquisition for clinical interventions requires a well-defined procedure that has already been underlined on the basis of field expertise and past experiences. Despite strict adherence to the procedure, the acquired images are prone to distortions and artefacts. This might happen due to organ motion during the breathing process (at times even...
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the recognition of handwritten documents, which aims at transforming the written text into machine-encoded text, is considered as one of the most challenging problems in the area of pattern recognition and an open research area. This brings the necessity to make research works on character recognition of the English alphabet not only recognizing measure and evaluate the performance of algorithms we used. A number of algorithms have been proposed for English character recognition such as a suppor...
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