Search Results - "Kamat, Pooja"

Anomaly Detection for Predictive Maintenance in Industry 4.0- A survey by Kamat, Pooja, Sugandhi, Rekha

“…Maintenance and reliability professionals in the manufacturing industry have the primary goal of improving asset availability. Poor and fewer maintenance…”
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Vibration-based anomaly pattern mining for remaining useful life (RUL) prediction in bearings by Kamat, Pooja, Kumar, Satish, Sugandhi, Rekha

“…Predicting the remaining useful life (RUL) of bearings is critical in ensuring rotating machinery’s reliability and maintenance efficiency. Most of the…”
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Data-Driven Remaining Useful Life Estimation for Milling Process: Sensors, Algorithms, Datasets, and Future Directions by Sayyad, Sameer, Kumar, Satish, Bongale, Arunkumar, Kamat, Pooja, Patil, Shruti, Kotecha, Ketan

“…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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Kids’ Emotion Recognition Using Various Deep-Learning Models with Explainable AI by Rathod, Manish, Dalvi, Chirag, Kaur, Kulveen, Patil, Shruti, Gite, Shilpa, Kamat, Pooja, Kotecha, Ketan, Abraham, Ajith, Gabralla, Lubna Abdelkareim

“…Human ideas and sentiments are mirrored in facial expressions. They give the spectator a plethora of social cues, such as the viewer’s focus of attention,…”
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Enhancing Surface Fault Detection Using Machine Learning for 3D Printed Products by Kadam, Vaibhav, Kumar, Satish, Bongale, Arunkumar, Wazarkar, Seema, Kamat, Pooja, Patil, Shruti

“…In the era of Industry 4.0, the idea of 3D printed products has gained momentum and is also proving to be beneficial in terms of financial and time efforts…”
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DeepTool: A deep learning framework for tool wear onset detection and remaining useful life prediction by Kamat, Pooja, Kumar, Satish, Kotecha, Ketan

“…Milling tool availability and its useful life estimation is essential for optimisation, reliability and cost reduction in milling operations. This work…”
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Anomaly-informed remaining useful life estimation (AIRULE) of bearing machinery using deep learning framework by Kamat, Pooja, Kumar, Satish, Patil, Shruti, Kotecha, Ketan

“…A rolling bearing is a crucial element within rotating machinery, and its smooth operation profoundly influences the overall well-being of the equipment…”
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Towards robust automated math problem solving: a survey of statistical and deep learning approaches by Saraf, Amrutesh, Kamat, Pooja, Gite, Shilpa, Kumar, Satish, Kotecha, Ketan

“…Automated mathematical problem-solving represents a unique intersection of natural language processing (NLP) and mathematical reasoning, posing significant…”
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Explainable Predictive Maintenance of Rotating Machines Using LIME, SHAP, PDP, ICE by Gawde, Shreyas, Patil, Shruti, Kumar, Satish, Kamat, Pooja, Kotecha, Ketan, Alfarhood, Sultan

“…Artificial Intelligence (AI) is a key component in Industry 4.0. Rotating machines are critical components in manufacturing industries. In the vast world of…”
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Explainable AI for Bearing Fault Prognosis Using Deep Learning Techniques by Sanakkayala, Deva Chaitanya, Varadarajan, Vijayakumar, Kumar, Namya, Karan, Soni, Girija, Kamat, Pooja, Kumar, Satish, Patil, Shruti, Kotecha, Ketan

“…Predicting bearing failures is a vital component of machine health monitoring since bearings are essential parts of rotary machines, particularly large motor…”
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Explainable AI for Multimodal Credibility Analysis: Case Study of Online Beauty Health (Mis)-Information by Wagle, Vidisha, Kaur, Kulveen, Kamat, Pooja, Patil, Shruti, Kotecha, Ketan

“…"One person's data or experience is another person's information" this has become the golden rule of the 21st century which has resulted in a massive reservoir…”
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Deep learning with ensemble approach for early pile fire detection using aerial images by Joshi, Dhyey Divyeshkumar, Kumar, Satish, Patil, Shruti, Kamat, Pooja, Kolhar, Shrikrishna, Kotecha, Ketan

“…Wildfires rank among the world’s most devastating and expensive natural disasters, destroying vast forest resources and endangering lives. Traditional…”
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Tool Wear Prediction in Milling: A Comparative Analysis Based on Machine Learning and Deep Learning Approaches by Kamat, Pooja V, Nargund, Anish, Kumar, Satish, Patil, Shruti, Sugandhi, Rekha

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Enhancing Optical Character Recognition on Images with Mixed Text Using Semantic Segmentation by Patil, Shruti, Varadarajan, Vijayakumar, Mahadevkar, Supriya, Athawade, Rohan, Maheshwari, Lakhan, Kumbhare, Shrushti, Garg, Yash, Dharrao, Deepak, Kamat, Pooja, Kotecha, Ketan

“…Optical Character Recognition has made large strides in the field of recognizing printed and properly formatted text. However, the effort attributed to…”
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Gesture-to-Text Translation Using SURF for Indian Sign Language by Tripathi, Kaustubh Mani, Kamat, Pooja, Patil, Shruti, Jayaswal, Ruchi, Ahirrao, Swati, Kotecha, Ketan

“…This research paper focuses on developing an effective gesture-to-text translation system using state-of-the-art computer vision techniques. The existing…”
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Deep learning-based anomaly-onset aware remaining useful life estimation of bearings by Kamat, Pooja Vinayak, Sugandhi, Rekha, Kumar, Satish

“…Remaining Useful Life (RUL) estimation of rotating machinery based on their degradation data is vital for machine supervisors. Deep learning models are…”
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LSTM based Ensemble Network to enhance the learning of long-term dependencies in chatbot by Patil, Shruti, Mudaliar, Venkatesh M., Kamat, Pooja, Gite, Shilpa

“…A chatbot is a software that can reproduce a discussion portraying a specific dimension of articulation among people and machines utilizing Natural Human…”
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Evaluation of mitotic figures and cellular and nuclear morphometry of various histopathological grades of oral squamous cell carcinoma : Comparative study using crystal violet and feulgen stains by Peirera, Treville, Tamgadge, Sandhya, Kesarkar, Kashmira, Tamgadge, Avinash, Gotmare, Swati, Kamat, Pooja

“…Objectives: The objectives of this study were to quantitatively estimate the number of mitotic figures (MFs) and evaluate the cellular and nuclear features of…”
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Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research by Gawde, Shreyas, Patil, Shruti, Kumar, Satish, Kamat, Pooja, Kotecha, Ketan, Abraham, Ajith

“…Industry 4.0 is an era of smart manufacturing. Manufacturing is impossible without the use of machinery. The majority of these machines comprise rotating…”
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Improving the useful life of tools using active vibration control through data-driven approaches: A systematic literature review by Warke, Vivek, Kumar, Satish, Bongale, Arunkumar, Kamat, Pooja, Kotecha, Ketan, Selvachandran, Ganeshsree, Abraham, Ajith

“…In the present era of sustainable smart manufacturing within the industry 4.0 framework, industries thrive to achieve sustainable development. Machining…”
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