Parijat Deshpande
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View article: Privacy Preserving Ordinal-Meta Learning with VLMs for Fine-Grained Fruit Quality Prediction
Privacy Preserving Ordinal-Meta Learning with VLMs for Fine-Grained Fruit Quality Prediction Open
To effectively manage the wastage of perishable fruits, it is crucial to accurately predict their freshness or shelf life using non-invasive methods that rely on visual data. In this regard, deep learning techniques can offer a viable solu…
View article: An in silico design method of a peptide bioreceptor for cortisol using molecular modelling techniques
An in silico design method of a peptide bioreceptor for cortisol using molecular modelling techniques Open
Cortisol is established as a reliable biomarker for stress prompting intensified research in developing wearable sensors to detect it via eccrine sweat. Since cortisol is present in sweat in trace quantities, typically 8-140 ng/mL, develop…
View article: High-throughput selection of glucose-binding proteins from massive datasets: Integrating molecular docking and molecular dynamics simulations
High-throughput selection of glucose-binding proteins from massive datasets: Integrating molecular docking and molecular dynamics simulations Open
Selecting suitable glucose-binding proteins (GBPs) is vital for biosensor development for medical diagnostics and quality control in the food industry. Biosensors offer advantages such as high specificity, selectivity, fast response time, …
View article: Review of: "Assessment of COVID-19 from Features Extraction of Exhaled Breath Using Signal Processing Methods"
Review of: "Assessment of COVID-19 from Features Extraction of Exhaled Breath Using Signal Processing Methods" Open
Potential competing interests: No potential competing
View article: An insilico design of a peptide bioreceptor for cortisol using molecular modelling techniques
An insilico design of a peptide bioreceptor for cortisol using molecular modelling techniques Open
Cortisol is established as a reliable biomarker for stress prompting intensified research in developing wearable sensors to detect it via eccrine sweat. Since cortisol is present in sweat in trace quantities, typically 8-140ng/mL, developi…
View article: Zero-shot transfer learned generic AI models for prediction of optimally ripe climacteric fruits
Zero-shot transfer learned generic AI models for prediction of optimally ripe climacteric fruits Open
Ideally, ripe fruits offer appropriate nutritional content and best quality in terms of taste and flavour. Prediction of ripe climacteric fruits acts as the main marketing indicator for quality from the consumer perspective and thus render…
View article: Development of an insilico model of eccrine sweat using molecular modelling techniques
Development of an insilico model of eccrine sweat using molecular modelling techniques Open
Eccrine sweat is an ideal surrogate diagnostic biofluid for physiological and metabolic biomarkers for wearable biosensor design. Its periodic and non-invasive availability for candidate analytes such as glucose and cortisol along with lim…
View article: Zero-Shot Transfer Learned Generic AI models for prediction of ideally ripe climacteric fruits
Zero-Shot Transfer Learned Generic AI models for prediction of ideally ripe climacteric fruits Open
Ideally, ripe fruits offer appropriate nutritional content and best quality in terms of taste and flavour. Prediction of ideally ripe climacteric fruits acts as the main marketing indicator for quality from the consumer perspective and thu…
View article: Development of an insilico model of eccrine sweat using molecular modelling techniques
Development of an insilico model of eccrine sweat using molecular modelling techniques Open
Exploring eccrine sweat as an ideal surrogate diagnostic biofluid for physiological and metabolic biomarkers, which are indicators of human health and performance, is an area of significant research interest. These biomarkers correlate wel…
View article: AI-based soft-sensor for shelf life prediction of ‘Kesar’ mango
AI-based soft-sensor for shelf life prediction of ‘Kesar’ mango Open
This paper presents prediction of shelf-life of ‘ Kesar ’ cultivar of mangoes stored under specified conditions based on their respiration rate and ripeness levels. A deep-CNN was fine-tuned on 1524 image data of mangoes stored under diffe…
View article: Breath Sounds as a Biomarker for Screening Infectious Lung Diseases
Breath Sounds as a Biomarker for Screening Infectious Lung Diseases Open
Periodic monitoring of breath sounds is essential for early screening of obstructive upper respiratory tract infections, such as inflammation of the airway typically caused by viruses. As an immediate first step, there is a need to detect …
View article: PerDMCS: Weighted Fusion of PPG Signal Features for Robust and Efficient Diabetes Mellitus Classification
PerDMCS: Weighted Fusion of PPG Signal Features for Robust and Efficient Diabetes Mellitus Classification Open
View article: Time:Frequency Analysis of Phonocardiogram for Classifying Heart Disease
Time:Frequency Analysis of Phonocardiogram for Classifying Heart Disease Open
Analysis of heart sounds is a popular research area for non invasive identification of several heart diseases.This paper proposes a set of 88 time-frequency features along with five different methodologies for classifying normal and abnorm…