Search Results - "Kotecha, Ketan"
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1
A Review on Explainability in Multimodal Deep Neural Nets
Published in IEEE access (2021)“…Artificial Intelligence techniques powered by deep neural nets have achieved much success in several application domains, most significantly and notably in the…”
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2
Few-Shot learning for face recognition in the presence of image discrepancies for limited multi-class datasets
Published in Image and vision computing (01-04-2022)“…One of the primary limitations of deep learning is data-hungry techniques. Deep learning approaches do not typically generalize well for limited datasets with…”
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3
Data augmentation using Variational Autoencoders for improvement of respiratory disease classification
Published in PloS one (12-08-2022)“…Computerized auscultation of lung sounds is gaining importance today with the availability of lung sounds and its potential in overcoming the limitations of…”
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4
A Review of Maximum Power Point Tracking Algorithms for Wind Energy Conversion Systems
Published in Journal of marine science and engineering (01-11-2021)“…Renewable energy resources are gaining a lot of popularity. Several researchers have worked on the tracking and extraction of energy from these sources. In the…”
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5
Cascaded Complementary Filter Architecture for Sensor Fusion in Attitude Estimation
Published in Sensors (Basel, Switzerland) (10-03-2021)“…Attitude estimation is the process of computing the orientation angles of an object with respect to a fixed frame of reference. Gyroscope, accelerometer, and…”
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6
Applying and Understanding an Advanced, Novel Deep Learning Approach: A Covid 19, Text Based, Emotions Analysis Study
Published in Information systems frontiers (01-12-2021)“…The pandemic COVID 19 has altered individuals’ daily lives across the globe. It has led to preventive measures such as physical distancing to be imposed on…”
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7
Harvesting social media sentiment analysis to enhance stock market prediction using deep learning
Published in PeerJ. Computer science (13-04-2021)“…Information gathering has become an integral part of assessing people's behaviors and actions. The Internet is used as an online learning site for sharing and…”
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8
Cervical cancer detection in pap smear whole slide images using convNet with transfer learning and progressive resizing
Published in PeerJ. Computer science (18-02-2021)“…Cervical intraepithelial neoplasia (CIN) and cervical cancer are major health problems faced by women worldwide. The conventional Papanicolaou (Pap) smear…”
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Online Extremism Detection: A Systematic Literature Review With Emphasis on Datasets, Classification Techniques, Validation Methods, and Tools
Published in IEEE access (2021)“…Social media platforms are popular for expressing personal views, emotions and beliefs. Social media platforms are influential for propagating extremist…”
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10
A Low-Cost Multi-Sensor Data Acquisition System for Fault Detection in Fused Deposition Modelling
Published in Sensors (Basel, Switzerland) (01-01-2022)“…Fused deposition modelling (FDM)-based 3D printing is a trending technology in the era of Industry 4.0 that manufactures products in layer-by-layer form. It…”
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11
Efficient Automated Processing of the Unstructured Documents Using Artificial Intelligence: A Systematic Literature Review and Future Directions
Published in IEEE access (2021)“…The unstructured data impacts 95% of the organizations and costs them millions of dollars annually. If managed well, it can significantly improve business…”
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12
Assistive Framework for Automatic Detection of All the Zones in Retinopathy of Prematurity Using Deep Learning
Published in Journal of digital imaging (01-08-2021)“…Retinopathy of prematurity (ROP) is a potentially blinding disorder seen in low birth weight preterm infants. In India, the burden of ROP is high, with nearly…”
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13
Remaining Useful-Life Prediction of the Milling Cutting Tool Using Time-Frequency-Based Features and Deep Learning Models
Published in Sensors (Basel, Switzerland) (17-06-2023)“…The milling machine serves an important role in manufacturing because of its versatility in machining. The cutting tool is a critical component of machining…”
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14
Domain Adaptation: Challenges, Methods, Datasets, and Applications
Published in IEEE access (01-01-2023)“…Deep Neural Networks (DNNs) trained on one dataset (source domain) do not perform well on another set of data (target domain), which is different but has…”
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15
Deep learning based respiratory sound analysis for detection of chronic obstructive pulmonary disease
Published in PeerJ. Computer science (11-02-2021)“…In recent times, technologies such as machine learning and deep learning have played a vital role in providing assistive solutions to a medical domain's…”
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16
Data-Driven Remaining Useful Life Estimation for Milling Process: Sensors, Algorithms, Datasets, and Future Directions
Published in IEEE access (2021)“…An increase in unplanned downtime of machines disrupts and degrades the industrial business, which results in substantial credibility damage and monetary loss…”
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17
Multiscale Object Detection from Drone Imagery Using Ensemble Transfer Learning
Published in Drones (Basel) (01-09-2021)“…Object detection in uncrewed aerial vehicle (UAV) images has been a longstanding challenge in the field of computer vision. Specifically, object detection in…”
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18
Experimental Investigation and Optimization of Electric Discharge Machining Process Parameters Using Grey-Fuzzy-Based Hybrid Techniques
Published in Materials (05-10-2021)“…Electrical discharge machining (EDM) has recently been shown to be one of the most successful unconventional machining methods for meeting the requirements of…”
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19
Prediction of Network Traffic in Wireless Mesh Networks Using Hybrid Deep Learning Model
Published in IEEE access (2022)“…Wireless mesh networks are getting adopted in the domain of network communication. Their main benefits include adaptability, configuration, and flexibility,…”
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20
Blockchain for securing AI applications and open innovations
Published in Journal of open innovation (01-09-2021)“…Nowadays, open innovations such as intelligent automation and digitalization are being adopted by every industry with the help of powerful technology such as…”
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