A5084917405- Smart Agriculture and AI
- Periodontal Regeneration and Treatments
- Oral and gingival health research
- Spectroscopy and Chemometric Analyses
- Oral and Maxillofacial Pathology
- Surgical Simulation and Training
- Network Security and Intrusion Detection
- Leaf Properties and Growth Measurement
- Oral microbiology and periodontitis research
- Vehicular Ad Hoc Networks (VANETs)
- Dental Implant Techniques and Outcomes
- Artificial Intelligence in Healthcare and Education
- Blockchain Technology Applications and Security
- Laser Applications in Dentistry and Medicine
- Advanced Graph Neural Networks
- IoT and Edge/Fog Computing
- Advanced Sensor and Energy Harvesting Materials
- Caching and Content Delivery
- Venous Thromboembolism Diagnosis and Management
- Endodontics and Root Canal Treatments
- Dental Radiography and Imaging
- Stochastic Gradient Optimization Techniques
- Medical and Biological Ozone Research
- Biometric Identification and Security
- Plant Molecular Biology Research
Manipal Academy of Higher Education
2012-2024
Leibniz Institute of Plant Genetics and Crop Plant Research
2024
Govt. Dental College & Hospital
2014-2024
Columbia University
2024
Indian Institute of Technology Jammu
2024
Manipal University Jaipur
2019-2023
Centre for Development of Advanced Computing
2015-2023
Indian Institute of Technology Guwahati
2023
Global Academy of Technology
2023
Mata Chanan Devi Hospital
2021-2023
Abstract Localized states in two-dimensional (2D) transition metal dichalcogenides (TMDCs) have been the subject of intense study, driven by potential applications quantum information science. Despite rapidly growing knowledge surrounding these emitters, their microscopic nature is still not fully understood, limiting production and application. Motivated this challenge, recent theoretical experimental evidence showing that nanowrinkles generate strain-localized room-temperature we...
There is intense pressure on agricultural productivity due to the ever‐growing population. Several diseases affect crop yield and thus, effective control of these can significantly improve production food for all. In this regard, detection at an early stage quantification severity, in general, has acquired urgent attention researchers. study, a summary prevalent techniques methodologies used detection, classification presented understand scope improvement. The study pays critical gaps that...
Abstract Freezing of gait (FOG) is a debilitating problem that markedly impairs the mobility and independence 38-65% people with Parkinson’s disease. During FOG episode, patients report their feet are suddenly inexplicably “glued” to floor. The lack widely applicable, objective detection method obstructs research treatment. To address this problem, we organized 3-month machine-learning contest, inviting experts from around world develop wearable sensor-based algorithms. 1,379 teams 83...
Introduction: In dentistry and orthodontics, there is a potential risk of dental instruments, such as orthodontic brackets wires, becoming accidentally lodged in the aerodigestive tract. Numerous complications related to ingestion or aspiration foreign objects have been reported clinical practice. Case Report: A 19-year-old female patient, referred from Department Orthodontics Periodontics, presented with primary complaint pain during chewing. The was attributed an embedded lower lingual...
The olive tree is a highly beneficial fruit with the earliest known history of its plantation going back to 6000 years. production oil facing significant threat nowadays due climate change and spread diseases. In this paper, disease analysis classification using image processing techniques are done. Using texture plant leaves, correlation in between signatures Neofabrea leaf spot Peacock diseases some features identified. manifests itself as distinguishable spots, prominently circular but...
Almost every person today owns a mobile phone with at least the most basic facilities like messaging and calling. Spam calls are already infamous for constant ringing of cell phones promotional or fraudulent pitching to innocent customers. With reducing costs bulk services from network providers, massive base these spam has shifted messaging. SMS, standing short service, become dumping ground unwanted product descriptions scam offers. Here, in this scenario, classification becomes necessity....
Major vascular injury resulting in uncontrolled bleeding is a catastrophic and often fatal complication of minimally invasive surgery. At the outset these events, surgeons do not know how much blood will be lost or whether they successfully control hemorrhage (achieve hemostasis). We evaluate ability deep learning neural network (DNN) to predict hemostasis using first minute surgical video compare model performance with human experts viewing same video. The publicly available SOCAL dataset...
Graph Neural Networks (GNNs) are a popular technique for modelling graph-structured data and computing node-level representations via aggregation of information from the neighborhood each node. However, this implies an increased risk revealing sensitive information, as node can participate in inference multiple nodes. This that standard privacy-preserving machine learning techniques, such differentially private stochastic gradient descent (DP-SGD) - which designed situations where point...
Experts can assess surgeon skill using surgical video, but a limited number of expert surgeons are available. Automated performance metrics (APMs) promising alternative have not been created from operative videos in neurosurgery to date. The authors aimed evaluate whether video-based APMs predict task success and blood loss during endonasal endoscopic surgery validated cadaveric simulator vascular injury the internal carotid artery.
Blockchain as we all know has captured interest over the world. Because of its features like decentralization, enhanced security, and distributed ledgers application is increasing day by day. Ever since Vegan PETA movements have taken strong grounds for questioning production food conditions they are kept in, customer gotten deeply involved wants to every step that takes place make eat. This led agribusiness seek supply chain management software improve safety, quality, traceability...
<h3>Importance</h3> Surgical data scientists lack video sets that depict adverse events, which may affect model generalizability and introduce bias. Hemorrhage be particularly challenging for computer vision–based models because blood obscures the scene. <h3>Objective</h3> To assess utility of Simulated Outcomes Following Carotid Artery Laceration (SOCAL)—a publicly available surgical set hemorrhage complication management with instrument annotations task outcomes—to provide benchmarks...
(1) To evaluate the need of antibiotics in periodontal surgeries reducing postsurgical infections and explore if have any key role or eliminating inflammatory complications. (2) establish incidence postoperative relation to type surgery determine those factors, which may affect infection rates.A prospective randomized double-blind cross over clinical study was carried out for a period 1-year with predefined inclusion exclusion criteria. All patients included were randomly divided into three...
Deep neural networks (DNNs) have not been proven to detect blood loss (BL) or predict surgeon performance from video.To train a DNN using video cadaveric training exercises of surgeons controlling simulated internal carotid hemorrhage clinically relevant outcomes.Video was input as series images; deep learning were developed, which predicted BL and task success images alone (automated model) plus human-labeled instrument annotations (semiautomated model). These models compared against 2...
Learned representations are a central component in modern ML systems, serving multitude of downstream tasks. When training such representations, it is often the case that computational and statistical constraints for each task unknown. In this context rigid, fixed capacity can be either over or under-accommodating to at hand. This leads us ask: we design flexible representation adapt multiple tasks with varying resources? Our main contribution Matryoshka Representation Learning (MRL) which...
Plant disease classification using image processing techniques is a prominent and challenging area of research. We have developed novel technique to classify, especially spot blight diseased leaf images four different plant species. In this technique, we dealt with the infection patterns manifested on leaves. The seem correlate diseases. Both these diseases cause similar leaves, hence they are hard distinguish. proposed succeeded in handling task reasonable extent. Statistical texture...
Abstract In eukaryotic organisms, proper chromosome segregation during cell division depends on the centromeric histone H3 (CENH3) variant. Our previous studies identified a plant CENH3 assembly factor, Kinetochore Null2 (αKNL2), that possesses centromere-targeting motif, CENPC-k, similar to CENPC motif in CENP-C. Additionally, we have demonstrated αKNL2 can bind DNA vitro, independent of its CENPC-k motif. Thus, mechanism underlying binding remains elusive. study shows and motifs alone are...
Vehicular ad hoc network (VANET) is an important component of Intelligent Transportation Systems.In VANET, active safety systems seems as the main benefit it, in which vehicles are exchanging messages to increase passenger on road.At present time, exposed many security threats; and for security, availability must be obtained at every time.The extremely needed when a vehicle sends any information other one.In this regard, DoS attacks very dangerous VANET because they adversely affect...
MapReduce framework is suitable for dataintensive applications large scale processing, but these classes of like machine learning algorithms, graph sentiment analysis etc. have dealt with skewness, diversity data to adapt changes in real time. For example, it difficult time training data/corpus big Sentiment Analysis, Email spam detection, and log file analysis. To achieve this goal, we proposed an algorithm that based on concepts functional programming self-adjusting computations supports...
Intraoperative tool movement data have been demonstrated to be clinically useful in quantifying surgical performance. However, collecting this information from intraoperative video requires laborious hand annotation. The ability automatically annotate tools would advance science by eliminating a time-intensive step research.To identify whether machine learning (ML) can instruments contained within neurosurgical video.A ML model which identifies frame was developed and trained on multiple...
Plant diseases occur in various parts of plants and have a variety identifying symptoms; the majority them can be visually identified evaluated. Barbedo [1] thoroughly reviewed techniques used for detection, quantification classification plant using image processing techniques. We explored which are dominant observed at earlier stage its life cycle. In this work, we detected quantified Neofabraea leaf spot olive plants. The data has been collected from local farms through online resources....