Preeti kathiria

Employment

• Nirma University Asst. Professor
  2004 - Present

Education

• Gujarat University Master of Computer Application
  2000 - 2003
• Gujarat University Bachelor of Science
  1990 - 1993
• Gujarat Technological University Doctor of Philosophy

Projects & Funding

Projects & funding information is unavailable.

Publications (14)

• Deep CNN-Based Insect Detection for Precision Agriculture and Design of UAV to Spray Pesticides on Detected Area
  International Journal of Image and Graphics 2026 DOI: 10.1142/S0219467826500282
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• Introduction
  Earth Observation Data Analytics Using Machine and Deep Learning: Modern tools, applications and challenges 2023 DOI: 10.1049/pbpc056e_ch1
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• Performance Analysis of Document Similarity-Based DBSCAN and K-Means Clustering on Text Datasets
  Lecture Notes in Electrical Engineering 2023 DOI: 10.1007/978-981-19-9876-8_5
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• Smart Crop Recommendation System: A Machine Learning Approach for Precision Agriculture
  Lecture Notes in Electrical Engineering 2023 DOI: 10.1007/978-981-99-0085-5_68
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• IoT based Ambient Assisted Living Technologies for Healthcare: Concepts and Design Challenges
  2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) 2022 DOI: 10.1109/i-smac55078.2022.9987375
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• Fuzzy Logic Inference-Based Automated Water Irrigation System
  International Journal of Ambient Computing and Intelligence 2022 DOI: 10.4018/ijaci.304726
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• Crop type classification with hyperspectral images using deep learning : a transfer learning approach
  Modeling Earth Systems and Environment 2022 DOI: 10.1007/s40808-022-01608-y
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• Document classification using deep neural network with different word embedding techniques
  International Journal of Web Engineering and Technology 2022 DOI: 10.1504/ijwet.2022.10050643
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• Hyperspectral Image Classification Using Transfer Learning
  Communication and Intelligent Systems 2022 DOI: 10.1007/978-981-19-2130-8_43
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• Neuromorphic Computing: Review of Architecture, Issues, Applications and Research Opportunities
  Lecture Notes in Electrical Engineering 2022 DOI: 10.1007/978-981-16-8892-8_28
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