A5055937996- Topic Modeling
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
- Smart Grid Security and Resilience
- Blockchain Technology Applications and Security
- Biomedical Text Mining and Ontologies
- Artificial Intelligence in Healthcare
- Network Security and Intrusion Detection
- Speech and dialogue systems
- AI in Service Interactions
- Semantic Web and Ontologies
- Service-Oriented Architecture and Web Services
- Microgrid Control and Optimization
- Humor Studies and Applications
- Advanced Malware Detection Techniques
- Dental materials and restorations
- Data Quality and Management
- Language, Metaphor, and Cognition
- IoT-based Smart Home Systems
- Mobile Agent-Based Network Management
- Energy Load and Power Forecasting
- Dental Implant Techniques and Outcomes
- Multilevel Inverters and Converters
- Peer-to-Peer Network Technologies
- Water-Energy-Food Nexus Studies
Uka Tarsadia University
2023-2024
Indian Institute of Management Ahmedabad
2024
Institute of Engineering
2023
Tribhuvan University
2023
Pokhara University
2023
Manipal University Jaipur
2023
Delhi Technological University
2021-2022
REVA University
2022
Lovely Professional University
2021-2022
Microsoft (United States)
2016-2021
Ming Zhong, Da Yin, Tao Yu, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Hassan Awadallah, Asli Celikyilmaz, Yang Liu, Xipeng Qiu, Dragomir Radev. Proceedings of the 2021 Conference North American Chapter Association for Computational Linguistics: Human Language Technologies. 2021.
Abstract This paper summarizes ongoing research in Natural-Language-Processing-driven citation analysis and describes experiments motivating examples of how this work can be used to enhance traditional scientometrics that is based on simply treating citations as a ‘vote’ from the citing cited paper. In particular, we describe our dataset for polarity purpose, present experimental results automatic detection these indicators, demonstrate use such annotations studying dynamics scientific...
Ensuring cybersecurity and confidentiality in smart grids is crucial for enhancing sustainability reliability today's technology-driven world. With the increasing reliance on grid technologies, it imperative to address potential risks protect of sensitive data. This research focuses exploring challenges strategies associated with grids. It examines importance safeguarding infrastructure from cyber threats maintain sustainable reliable energy delivery systems. The study investigates various...
New scientific concepts, interpreted broadly, are continuously introduced in the literature, but relatively few concepts have a long‐term impact on society. The identification of such is challenging prediction task that would help multiple parties—including researchers and general public—focus their attention within vast literature. In this paper we present system predicts future concept, represented as technical term, based information available from recently published research articles. We...
Conversational agents such as Alexa and Google Assistant constantly need to increase their language understanding capabilities by adding new domains. A massive amount of labeled data is required for training each domain. While domain adaptation approaches alleviate the annotation cost, prior suffer from increased time suboptimal concept alignments. To tackle this, we introduce a novel Zero-Shot Adaptive Transfer method slot tagging that utilizes description transferring reusable concepts...
While neural language models can generate text with remarkable fluency and coherence, controlling for factual correctness in generation remains an open research question.This major discrepancy between the surface-level content-level of has motivated a new line that seeks automatic metrics evaluating factuality machine text.In this paper, we introduce GO FIGURE, metaevaluation framework evaluation metrics.We propose five necessary conditions to evaluate on diagnostic data across three...
The study aimed to compare the clinical efficacy, safety, and acceptability of buffered lidocaine (8.4% sodium bicarbonate 2% with 1:80,000 adrenaline) versus non-buffered (2% during inferior alveolar nerve block.Fifty patients who required bilateral extractions in a single arch were included this study. One hundred carried out, all had blocks procedure. We also took note patient's pain level as measured on visual analog scale, well start action, duration postoperative analgesia, occurrence...
Introduction: Dietary supplements are widely used by gym-goers to enhance physical appearance and performance, but their inappropriate use poses potential health risks. This study aimed assess the patterns, motivations, knowledge of dietary supplement among gym users in Lamjung District Nepal.Methods: was an observational cross-section conducted from December 16, 2020, January 13, 2021, 214 users. Data were collected using a structured questionnaire based on Health Belief Model (HBM)...
Sign Language plays an indispensable role in the lives of people having speaking and hearing disabilities. Recognition American using Computer Vision is very challenging due to its increasing complexity high intraclass variations. In this paper, convolutional neural networks (CNNs) are used recognize ASL Alphabets. This algorithm useful it as a deep network, which expected for alphabet classification task. Pre-Processing steps MNIST dataset done first phase. After phase, different important...
Smart grid technology has transformed electricity distribution and management, but it also exposes critical infrastructures to cybersecurity threats. To mitigate these risks, the integration of machine learning (ML) natural language processing (NLP) techniques emerged as a promising approach. This survey paper analyses current research applications related ML NLP integration, exploring methods for risk assessment, log analysis, threat intrusion detection, anomaly detection. It explores...
Doxepin, a Class-I Biopharmaceutics Drug Disposition Classification System (BDDCS) drug, exhibits poor bioavailability due to extensive first-pass metabolism. This research focuses on enhancing the delivery of doxepin by formulating nanostructured lipid carriers (NLCs) through utilization Box-Behnken Design methodology. These optimized NLCs are intended for intranasal administration, with ultimate goal improving nose-to-brain drug delivery. were formulated using high-speed homogenization...
Meetings are a key component of human collaboration. As increasing numbers meetings recorded and transcribed, meeting summaries have become essential to remind those who may or not attended the about decisions made tasks be completed. However, it is hard create single short summary that covers all content long involving multiple people topics. In order satisfy needs different types users, we define new query-based multi-domain summarization task, where models select summarize relevant spans...
Rahul Jha, Alex Marin, Suvamsh Shivaprasad, Imed Zitouni. Proceedings of the 2018 Conference North American Chapter Association for Computational Linguistics: Human Language Technologies, Volume 3 (Industry Papers). 2018.
Redundancy-aware extractive summarization systems score the redundancy of sentences to be included in a summary either jointly with their salience information or separately as an additional sentence scoring step. Previous work shows efficacy and selecting neural sequence generation models. It is, however, not well-understood if gain is due better encoding techniques reduction approaches. Similarly, contribution versus diversity components on created studied well. Building state-of-the-art...
The One Nation Ration Card (ONORC) scheme started in India 2019—with all states on board since mid-2022—enabling interstate portability of the public distribution system (PDS) for migrants to access subsidised foodgrains. This article reviews progress policy so far, compares PDS with intrastate portability, and identifies key ONORC districts where offtake appears be occurring frequently. It documents limited traction less than half a million monthly transactions, stark contrast over 20...
This study explores the integration of Artificial Intelligence (AI) into e-governance cybersecurity, focusing on its key insights, contributions, challenges, and future directions. AI-powered cybersecurity systems offer advanced capabilities in threat detection, response, scalability, improving protection critical infrastructure sensitive data government digital services. However, ethical considerations such as transparency, fairness, accountability, well challenges related to algorithm...
We investigate the task of generating coherent survey articles for scientific topics. introduce an extractive summarization algorithm that combines a content model with discourse to generate and readable summaries topics using text from relevant topic. Human evaluation on 15 in computational linguistics shows our system produces significantly more than previous systems. Specifically, improves ratings coherence by 36% human compared C-Lexrank, state art article summarization.
While neural language models can generate text with remarkable fluency and coherence, controlling for factual correctness in generation remains an open research question. This major discrepancy between the surface-level content-level of has motivated a new line that seeks automatic metrics evaluating factuality machine text. In this paper, we introduce GO FIGURE, meta-evaluation framework evaluation metrics. We propose five necessary intuitive conditions to evaluate on diagnostic data across...
This paper establishes a solution for the management of inventory products concerning time and cost efficient delivery into competitive market with rules policies where stock deteriorates recovery process is unreliable. It has focused on demand supply chain goods taking minimum consideration maximizing profit throughout cycle delivering products. user interface software that maintains all records buying procuring from stock. emphasizes problem related to integrated transportation an...