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Article
Open AccessIsotopologues of potassium 2,2,2-trifluoroethoxide for applications in positron emission tomography and beyond
The 2,2,2-trifluoroethoxy group increasingly features in drugs and potential tracers for biomedical imaging with positron emission tomography (PET). Herein, we describe a rapid and transition metal-free conver...
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Chapter and Conference Paper
A Comparative Study on Reassembly of Image Fragments
The reassembly of image fragments has different application domains. The problem is very challenging due to the specific needs of different applications. This paper represents a detailed and comparative study ...
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Chapter and Conference Paper
Prediction of Crops Production Using Random Forest Regression
is now one of the most significant survival sources and the key element in Indian economic development. Machine learning methods are being used for data analysis, particularly when huge data sets must be ex...
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Chapter and Conference Paper
Automated Sorting of Rotten or Defective Fruits and Vegetables Using Convolutional Neural Network
Modern peoples are very concerned about food safety. It is known to all that the rotten or defective fruits and vegetables are harmful to health. The rotten and defective fruits and vegetables may degrade the ...
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Chapter and Conference Paper
A Holistic Framework for Quality Evaluation of Fruits and Vegetables Suppliers
The evaluation of the supplier is a very important task for the management of any industry in the modern-day supply chain. The supplier of fruits and vegetables is also coming under the same scanner. The fruit...
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Chapter and Conference Paper
Dataset Annotation on Chronic Disease Comorbidities Study in Type 2 Diabetes Mellitus
For the past few years, health care data has reached a genomic scale in volume as well as in complexity. In the field of healthcare informatics, mining and exploiting massive health data help to analyze differ...
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Chapter
Detection of Rotten Fruits and Vegetables Using Deep Learning
Nowadays, food safety is a global concern. This chapter elucidates various problems of fruits and vegetable processing using computer vision and machine learning as well as proposes a convolutional neural netw...
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Chapter
Automatic Classification of Fruits and Vegetables: A Texture-Based Approach
and Vegetables are very important food product for the daily life of the humans. Classification of fruits and vegetable is needed for every aspect of the agricultural industry. It is quite challenging t...
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Chapter and Conference Paper
Geometrical Transformation Invariant Approach for Classification of Signatures Using k-NN Classifier
Signature-based authentication of human is still very popular approach. Manual checking is not always accurate and it depends on expertise. The need is an automated and accurate system for signature classifica...
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Chapter and Conference Paper
An Approach Towards Classification of Fruits and Vegetables Using Fractal Analysis
Agriculture-related works include harvesting, sorting, and packaging etc. Those works require lots of time and a huge number of expert resources for manual execution. Automation may be the solution to this pro...
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Chapter and Conference Paper
Shape-based Fruit Recognition and Classification
Classification of fruits is traditionally done using manual resources due to which the time and economic involvements increase adversely with number of fruit types and items per class. In recent times computer...
