For consultancy in AI in renewable Energy Machine learning,Image processing ,WSN,IOT ,Blockchain NS2 , you can contact me directly Consultancy work on retainer ship, funding based on project progress is feasible. The costing does depend on IPR sharing model. Consultancy fee and terms and conditions are normally negotiated after evaluating the feasibility of the\u00a0consultancy.<\/p>\n
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\n\u201cPain detection through facial expressions\u201d. (Purpose is to find not only pain- no pain category but also the intensity of the pain the person is suffering from)<\/h2>\n
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\nA Character-based Convolutional Neural Network for Language-Agnostic Twitter Sentiment Analysis<\/h2>\n
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\nA decision support tool for early detection of knee OsteoArthritis using X-ray imaging and machine learning: Data from the OsteoArthritis Initiative<\/h2>\n
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\nA new mechanism for Video content analysis using convolutional neural networks<\/h2>\n
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\nA Two-Stage Convolutional Neural Networks for Lung Nodule Detection<\/h2>\n
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\nAn effective attribute based broad caste encryption model for ensuring security in IOT-fog network.<\/h2>\n
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\nAn Efficient Method for Plant Disease Detection and Classification Using Soft Computing Techniques<\/h2>\n
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\nAnomaly detection in live stream data<\/h2>\n
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\nAutomated detection of diabetic retinopathy using convolutional neural networks on a small dataset<\/h2>\n
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\nCancer classification using gene expression data<\/h2>\n
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\nCough sound analysis and objective correlation with spirometry and clinical diagnosis<\/h2>\n
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\nCross corpus multi-lingual speech emotion recognition using ensemble learning<\/h2>\n
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\nDeep Learning-based Polar Code Design<\/h2>\n
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\nDengue disease prediction using deep learning python<\/h2>\n
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\nDisease Detection and Classification in Paddy Crop<\/h2>\n
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\nFake Media Detection Based on Natural Language Processing and Blockchain Approaches.<\/h2>\n
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\nHand gesture recognition to recognize hand gesture from videos with high recognition accuracy by extracting unique features<\/h2>\n
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\nIdentification of crop diseases using High-Resolution Hyperspectral UAV Images in this objective i have find crop disease<\/h2>\n
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\nKidney and Renal Tumor Segmentation Usinga Hybrid V-Net-Based Model<\/h2>\n
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\nMalware detection for Android smartphones using machine learning algorithms.<\/h2>\n
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\nMissing Data Imputation in GNSS Monitoring Time SeriesUsing Temporal and Spatial Hankel Matrix Factorization<\/h2>\n
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\nPrimary User Emulation Attacks and Protection Methods for cognitive radio (cognitive radio network)<\/h2>\n
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\nSemantic approach for IOT Data Analysis and Analytics with prospect in Agriculture 4.0<\/h2>\n
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\nShelf Configuring Intrusion Detection System using Deep Learning<\/h2>\n
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\nSurya namaskar: real-time advanced yoga pose recognition and correction for smart healthcare<\/h2>\n
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\nTime delay estimation of partial discharge signals using deep learning algorithms-most preferably CNNs<\/h2>\n
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\nTo implement consensus among multiple agents using newly design robust algorithm so that I can achieve consensus faster with some uncertainty in consensus equation.<\/h2>\n