Janmejay Pant

ORCID: 0000-0002-8498-5251
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Research Areas
  • Artificial Intelligence in Healthcare
  • Smart Agriculture and AI
  • Data Mining Algorithms and Applications
  • Retinal Imaging and Analysis
  • Computational Drug Discovery Methods
  • Spam and Phishing Detection
  • COVID-19 diagnosis using AI
  • Anomaly Detection Techniques and Applications
  • Imbalanced Data Classification Techniques
  • Network Security and Intrusion Detection
  • Pharmacovigilance and Adverse Drug Reactions
  • Lung Cancer Diagnosis and Treatment
  • Rough Sets and Fuzzy Logic
  • Soil and Land Suitability Analysis
  • Soil Geostatistics and Mapping
  • Retinal Diseases and Treatments
  • Spectroscopy and Chemometric Analyses
  • Advanced Malware Detection Techniques
  • Agricultural Economics and Practices
  • Fuzzy and Soft Set Theory
  • Neural Networks and Applications
  • Water Quality Monitoring and Analysis
  • Phytochemicals and Medicinal Plants
  • Stock Market Forecasting Methods
  • Brain Tumor Detection and Classification

Chandigarh University
2021-2025

Graphic Era University
2014-2024

Kumaun University
2019

Rapid increase in the information technology through digitalization, leads to fast enhancement technical industry has expanded need for effective data mining. Data mining is a combination of tools and mechanisms taking out beneficial set from gigantic amount databases. three main components: Classification, Sequence Analysis, Association rule. provides various functions like; error identification, regression, clustering, classification, association rule, summarization. This machine learning...

10.1109/cicn49253.2020.9242572 article EN 2022 14th International Conference on Computational Intelligence and Communication Networks (CICN) 2020-09-25

Abstract: Non-small cell lung cancer (NSCLC) includes various epithelial malignancies, such as squamous carcinoma, large and adenocarcinoma. Despite ad-vancements in surgical resection, chemoradiotherapy, multimodal therapies, NSCLC prognosis remains challenging due to its complex molecular landscape, drug resistance, high treatment costs. Recent research highlights the potential of natural compounds, particularly terpenes terpenoids, derived from essential oils (EOs), enhance treatment....

10.2174/0115680096353438250130070422 article EN Current Cancer Drug Targets 2025-02-14

Abstract: Coronavirus disease 2019 is a global pandemic, particularly affecting individuals with pre-existing lung conditions and potentially leading to pulmonary fibrosis. Age healthcare system limitations further amplify susceptibility both diseases, especially in low- middle-income countries. The intricate relationship between cancer highlights their clinical implications the potential for early detection through biosensor techniques involving hedgehog mucin signaling. This study...

10.2174/0113816128276948231204111531 article EN Current Pharmaceutical Design 2023-12-01

Cloud computing is one of the technologies used by different applicants to safeguard user credentials and security breach. provides from any external threat or The main component Access Control which a permission access cloud resources through application. In this paper, we work for an control model in added task role based enhanced prevent unauthorized user. And also describes existing models services computing. at least implement analyze results proposed with help simulator, CloudSim.

10.1109/ccaa.2016.7813905 article EN 2016-04-01

Thoracic diseases are the most common radiological disorders worldwide especially in India. It is a life-threatening infectious disease affecting breathing organ like thorax and one or both lungs human body commonly caused by bacteria. Physicians radiologists quiet using physical visual graphical manners order to diagnose chest X-rays. Patient's diagnoses entirely dependent on consultant given that expert. However, there might be emergency circumstances where radiology experts too busy may...

10.1109/iccmc51019.2021.9418343 article EN 2022 6th International Conference on Computing Methodologies and Communication (ICCMC) 2021-04-08

Information and communication technology inflate day by day, due to rapid improvement in technologies has increased the need of effective IDS (Intrusion Detection System). Here, Intelligent Intrusion method that is Rough Set based approach presented for performance evaluation classifier abnormal behavior. Theory used reduce input data space, from complex databases find minimal decision rules or reduct, through this we can manage complexity system huge network traffic. set classification...

10.1109/icaccaf.2016.7748991 article EN 2016-09-01

Agriculture plays a vital role in the Indian economy. The growth of agriculture sector is based on type gift we have got from nature. It varies state to state, district district, taluka taluka, block and even village village. This study confined Bhimtal Nainital district. main purpose growing crops raising livestock. In order grow several types agri-inputs are required, among them fertile lands great significance crop cultivation. As far as land concerned it solely depends quality soil terms...

10.28924/2291-8639-19-2021-91 article EN cc-by International Journal of Analysis and Applications 2020-12-11

In the modern world, weather forecasting is an essential application. The forecasts can help us reduce weather- related losses. need for a massive data and highly computationally intensive parameterization procedure be eliminated or reduced by use of machine learning deep algorithms forecasting. This research work intends to forecast temperature three cities (Dehradun, Mukteshwar Pantnagar) Uttarakhand using emerging time series model AR/MA (Auto Regressive Integrated Moving Average)....

10.1109/iceca55336.2022.10009165 article EN 2022 6th International Conference on Electronics, Communication and Aerospace Technology 2022-12-01

Abstract: Lung cancer, primarily Non-Small Cell Cancer (NSCLC), is a global public health concern responsible for 80-85% of cases, with over two million new cases occurring annually, and 50% them in Asia. While there has been gradual reduction United States (US) the last decade, 238,340 127,070 deaths reported 2023, managing metastatic NSCLC remains crucial, focusing on prolonging survival enhancing quality life. Integration early palliative care shows promise this regard. International...

10.2174/0118756921301200240427053840 article EN Current pharmacogenomics and personalized medicine (Online)/Current pharmacogenomics and personalized medicine 2023-12-01

In each and every field of science technology Information plays an important role. Sometimes information is facing different types problems to handle the data information. Data Uncertainty one challenging difficulties handle. past, there are several theories like fuzzy set, Rough Probability etc.to dealing with uncertainty. Soft set theory youngest deal this paper we discussed how find reducts. This focuses on can transform a sample binary valued system. We also going reduce dimension by...

10.11591/ijece.v7i1.pp324-329 article EN cc-by-nc International Journal of Electrical and Computer Engineering (IJECE) 2017-02-01

Asava-arishta, the medicinal characteristics of Ayurvedic classical dosage forms, liquid forms based on self-generated alcohol with faster absorption, long shelf life and increased market conformity have led to a continuous rise in demand. New fermentation methods packaging innovations tend been embraced by many processing units. The importance standardisation such goods is underlined these advances manufacturing, distribution storage. Therefore, it concern examine latest manufacturing...

10.22271/plants.2021.v9.i3b.1281 article EN Journal of Medicinal Plants Studies 2021-05-01

Clustering is one of the most effective methods for summarizing and analyzing datasets that are collection data objects similar or dissimilar in nature.Clustering aims at finding groups, clusters, with attributes.Most clustering work efficiently low dimensional since distance measures used to find dissimilarities between objects.High data, however, may contain attributes which not required defining clusters irrelevant dimension produce noise will hide be created.The discovery groups highly...

10.5120/15995-4844 article EN International Journal of Computer Applications 2014-04-18

The pH value of soil is a critical parameter which governs the fertility soil. In Uttarakhand, due to very encouraging climatic conditions like temperature, moisture and humidity, has an appropriate value, hence it fertile, which, agriculture become significant source income for Uttarakhand people. This research article based upon secondary data pertaining Kumaun region Uttarakhand. available been used develop train RBF NN (radial basis function neural network) FIS (subtractive clustering...

10.1109/gcat52182.2021.9587755 article EN 2021 2nd Global Conference for Advancement in Technology (GCAT) 2021-10-01

Soil is recognized as one of the most valuable entity which responsible for sustaining life on earth. It clear that Indian economy largely dependent agriculture. In India, a large section population sole or major source earnings There are many factors in yield production and also affect them plays crucial role production. nutrients important aspects contribute to soil fertility. this paper we classify form fertility index level using machine learning. We induced rule model training data...

10.35940/ijitee.l3487.1081219 article EN International Journal of Innovative Technology and Exploring Engineering 2019-10-25

A fertile soil is essential for healthy plant growth and quality food. This work aims to classify samples into more less soil. It has been carried out using the fertility data of Kumaun, Uttarakhand. The climate very promising in this region India. Here plenty nutrients best pH value resulting an outstanding fertility. Moreover, area, favorable temperature moisture conditions make agriculture economically sound. In work, machine learning techniques, k-means clustering Support Vector Machine,...

10.1109/icosec54921.2022.9951872 article EN 2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) 2022-10-20

One of the most dangerous effects diabetes is diabetic retinopathy, which, if ignored, results in lifelong blindness. Early detection, which crucial for successful treatment outcomes, one key obstacles. Unfortunately, it takes a skilled human to accurately evaluate fundus images determine exact retinopathy stage. Millions people can benefit from detecting step's simplification. The identification area where convolutional neural networks (CNN) have been successfully utilized. detection may...

10.1109/icacrs55517.2022.10029018 article EN 2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) 2022-12-13

10.1109/iceca63461.2024.10801012 article EN 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) 2024-11-06
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