A5034136464- Software Reliability and Analysis Research
- Software Engineering Research
- Face and Expression Recognition
- COVID-19 diagnosis using AI
- Topic Modeling
- Face recognition and analysis
- Software Engineering Techniques and Practices
- scientometrics and bibliometrics research
- Radiomics and Machine Learning in Medical Imaging
- Natural Language Processing Techniques
- Big Data and Business Intelligence
- Complex Network Analysis Techniques
- Domain Adaptation and Few-Shot Learning
- Spine and Intervertebral Disc Pathology
- Advanced Neural Network Applications
- Image Retrieval and Classification Techniques
- Machine Learning in Healthcare
- Advanced Image Processing Techniques
- AI in cancer detection
- Cervical and Thoracic Myelopathy
- Biometric Identification and Security
- Speech Recognition and Synthesis
- Software Testing and Debugging Techniques
- Lung Cancer Diagnosis and Treatment
- Advanced Graph Neural Networks
Jawaharlal Nehru Krishi Vishwa Vidyalaya
2024
Institute of Engineering
2019-2024
University of Delhi
2014-2024
Sant Gadge Baba Amravati University
2024
South Eastern Railway
2020-2024
The University of Texas at Austin
2020-2024
Lovely Professional University
2022-2024
Jaypee Institute of Information Technology
2013-2022
Shri Lal Bahadur Shastri Rashtriya Sanskrit Vidyapeetha
2021
Bombay Hospital
2021
Large pre-trained language models (LLMs) have been shown to significant potential in few-shot learning across various fields, even with minimal training data. However, their ability generalize unseen tasks more complex such as biology, has yet be fully evaluated. LLMs can offer a promising alternative approach for biological inference, particularly cases where structured data and sample size are limited, by extracting prior knowledge from text corpora. Our proposed uses predict the synergy...
Whole-body biometric recognition is an important area of research due to its vast applications in law enforcement, border security, and surveillance. This paper presents the end-to-end design, development evaluation FarSight, innovative software system designed for whole-body (fusion face, gait body shape) recognition. FarSight accepts videos from elevated platforms drones as input outputs a candidate list identities gallery. The address several challenges, including (i) low-quality imagery,...
Image distortion by atmospheric turbulence is a stochastic degradation, which critical problem in long-range optical imaging systems. A number of research has been conducted during the past decades, including model-based and emerging deep-learning solutions with help synthetic data. Although fast physics-grounded simulation tools have introduced to models adapt real-world conditions recently, training such only relies on data ground truth pairs. This paper proposes Physics-integrated...
Ranking samples by fine-grained estimates of spuriosity (the degree to which spurious cues are present) has recently been shown significantly benefit bias mitigation, over the traditional binary biased-\textit{vs}-unbiased partitioning train sets. However, this ranking comes with requirement human supervision. In paper, we propose a debiasing framework based on our novel \ul{Se}lf-Guided \ul{B}ias \ul{Ra}nking (\emph{Sebra}), that mitigates biases (spurious correlations) via an automatic...
Graph Neural Networks (GNNs) have empowered the advance in graph-structured data analysis. Recently, rise of Large Language Models (LLMs) like GPT-4 has heralded a new era deep learning. However, their application to graph poses distinct challenges due inherent difficulty translating structures language. To this end, we introduce \textbf{L}arge \textbf{L}anguage \textbf{a}nd \textbf{G}raph \textbf{A}ssistant (\textbf{LLaGA}), an innovative model that effectively integrates LLM capabilities...
The research took place over three consecutive rabi seasons from 2011 to 2014 at the AICRP on Forage Crops, Department of Agronomy, College Agriculture, Jabalpur (MP). soil experimental site is sandy clay loam with medium organic carbon content (0.61%). It has moderate levels available nitrogen (365.20 kg N/ha) and phosphorus (17.97 P2O5/ha), but high potassium (308.12 K2O/ha). soil's pH close neutral (7.24), its soluble salt concentration (0.35 ds/m) within safe limits. experiment followed...
This paper explores an interesting new dimension to the challenging problem of predicting long-term scientific impact (LTSI) usually measured by number citations accumulated a in long-term. It is well known that early (within 1-2 years after publication) acquired positively affects its LTSI. However, there no work investigates if set authors who bring these also affect In this paper, we demonstrate for first time, whom call citers (EC) on LTSI paper. Note study complex dynamics EC introduces...
Radiology reports are unstructured and contain the imaging findings corresponding diagnoses transcribed by radiologists which include clinical facts negated and/or uncertain statements. Extracting pathologic from radiology is important for quality control, population health, monitoring of disease progress. Existing works, primarily rely either on rule-based systems or transformer-based pre-trained model fine-tuning, but could not take factual information into consideration, therefore...
Compressing high-capability Large Language Models (LLMs) has emerged as a favored strategy for resource-efficient inferences. While state-of-the-art (SoTA) compression methods boast impressive advancements in preserving benign task performance, the potential risks of terms safety and trustworthiness have been largely neglected. This study conducts first, thorough evaluation three (3) leading LLMs using five (5) SoTA techniques across eight (8) dimensions. Our experiments highlight intricate...
The need for enhanced methods in disease prediction is a significant challenge the medical field. Current predictive models often face challenges such as limited accuracy, insufficient adaptability to diverse datasets, and inefficiencies feature selection model training. These limitations can hinder early diagnosis effective management of thyroid conditions, which are vital patient outcomes. study introduces an innovative method enhancing using machine learning employs algorithms support...
Conjoint nerve root (CNR) is an embryological anomaly that mainly involves the lumbosacral region. The presence of CNR during tubular discectomy raises chances failure in spinal surgery and risk neural injuries. Tubular can be challenging owing to limited visualization. Here, we present a technical note on two cases L5–S1 disc prolapse conjoint S1 was operated via minimally invasive approach. Any intraoperative suspicion while using approach should prompt surgeon perform thorough...
A prospective comparative study.To compare the incidence of unintended durotomy and return to work after open surgery versus minimally invasive spine (MIS) for degenerative lumbar pathologies.The accidental varies between 0.3% 35%. Most these are from surgeries, only a handful studies have involved MIS approach. No single-center compared with MIS, especially in context early dural tear (DT).This study included 420 operated cases pathology follow-up at least 6 months. Patients were divided...