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Browsing Electronics by Issue Date

Browsing Electronics by Issue Date

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  • Python Programming Recipes for IoT Applications 
    Parab, J.S.; Lanjewar, M.; Sequeira, M.; Naik, G.M.; Shaikh, A.Y. (Springer Nature. 2023; 192pp.)
  • FoG and Cloud Computing with Jetson Nano (Chapter 5) 
    Parab, J.S.; Lanjewar, M.; Sequeira, M.; Naik, G.M.; Shaikh, A.Y. (Python Programming Recipes for IoT Applications, Part of the Transactions on Computer Systems and Networks book series (TCSN). 2023; 123-166.)
    FoG and cloud paradigms are helping the IoT devices to offload the computing in order to reduce power consumption and increase battery life. The Jetson Nano SBC is an exciting platform which can act as a FoG node and as ...
  • MicroPython PyBoard for IoT (Chapter 4) 
    Parab, J.S. (Python Programming Recipes for IoT Applications, Part of the Transactions on Computer Systems and Networks book series (TCSN). 2023; 89-122.)
    In this chapter, readers will learn how to program Pyboard for IoT applications using MicroPython. MicroPython is a member of the Python interpreter's family. MicroPython Programming language is a subset of the Python to ...
  • Simple Applications with Raspberry Pi (Chapter 3) 
    Parab, J.S. (Python Programming Recipes for IoT Applications, Part of the Transactions on Computer Systems and Networks book series (TCSN). 2023; 49-87.)
    All over the world, people use the Raspberry Pi to learn the coding skills, build simple projects, implement simple clusters and a little bit of Edge computing. Raspberry Pi is considered as a low-cost pocket-sized ...
  • Hybrid method for accurate starch estimation in adulterated turmeric using Vis-NIR spectroscopy 
    Lanjewar, M.; Morajkar, P.P.; Parab, J.S. (Food Additives & Contaminants: Part A. 40(9); 2023; 1131-1146.)
    Turmeric is widely used as a health supplement and foodstuff in South East Asian countries because of its medicinal benefits. Like several other plants and peppers, turmeric is prone to exploitation because of its economic ...
  • Efficient deep learning model for de-husked Areca nut classification 
    Patil, S.; Naik, A.; Parab, J.S. (Journal of Applied and Natural Science. 15(4); 2023; 1529-1540.)
    Areca nut is a widely used agricultural product in India and even over the globe. Areca nut, a fruit of areca palm (Areca catechu) is grown widely in the Asia-Pacific region. Areca nut segregation is of prime importance ...
  • Performance of Bit Error Rate (BER) in OOK Modulation using Orbital Angular Momentum (OAM) carrying Gaussian Vortex Beam 
    Abhyankar, G.; Gawali, S.B.; Vetrekar, N.T.; Gad, R.S.; Naik, G.M. (Proc. 2023 First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI). 2023; ArticleID_10370920.)
    Achieving higher spectral efficiency is an absolute necessity in this era where demand for higher bandwidth is ever increasing. Optical communication emerged as potential solution in this direction to the requirement. A ...
  • Collaborative representation with hole filling techniques for Kinect RGB-D face recognition 
    Gaonkar, A.A.; Vetrekar, N.T.; Gad, R.S. (International Journal of Biometrics. 15(2); 2023; 170-193.)
    We present in this paper, three different filtering techniques based on kernel function to fill missing information in depth map images obtained from low resolution sensor such as Kinect to improve the performance accuracy ...
  • Multilevel fusion of multispectral images to detect the artificially ripened banana 
    Vetrekar, N.T.; Ramachandra, R.; Gad, R.S. (IEEE Sensors Letters. 7(1); 2023; ArticleID_7000404.)
    Automatic detection of artificially ripened fruits based on a nondestructive approach has recently gained significant attention. This work explores the inherent properties of multispectral imaging to distinguish between ...
  • CNN and transfer learning methods with augmentation for citrus leaf diseases detection using PaaS cloud on mobile 
    Lanjewar, M.; Parab, J.S. (Multimedia Tools and Applications. NYP; 2023; NYP.)
    Leaf and fruit infections are the primary cause of the maximum harm to the crop, which decreases the quality and amount of the goods. To improve the productivity of plants, the timely identification of the infection is ...
  • Portable system to detect starch adulteration in turmeric using NIR spectroscopy 
    Lanjewar, M.; Morajkar, P.P.; Parab, J.S. (Food Control. 155; 2024; ArticleID_110095.)
    Analytical tests are commonly performed in laboratories to analyze and ensure food quality due to concerns about food adulteration. However, traditional analytical methods that rely on chemicals or equipment are often ...
  • Multispectral imaging for differential face morphing attack detection: A preliminary study 
    Ramachandra, R.; Venkatesh, S.; Damer, D.; Vetrekar, N.T.; Gad, R.S. (Proc. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2024; 6185-6193.)
    Face morphing attack detection is emerging as an increasingly challenging problem owing to advancements in high-quality and realistic morphing attack generation. Reliable detection of morphing attacks is essential because ...
  • Explainable predictive maintenance of rotating machines using LIME, SHAP, PDP, ICE 
    Gawde-Prabhudesai, S.; Patil, S.; SatishKumar; Kamat, P.; Kotecha, K.; Alfarhood, S. (IEEE Access. 12; 2024; 29345-29361.)
    Artificial Intelligence (AI) is a key component in Industry 4.0. Rotating machines are critical components in manufacturing industries. In the vast world of Industry 4.0, where an IoT network acts as a monitoring and ...
  • An explainable predictive maintenance strategy for multi-fault diagnosis of rotating machines using multi-sensor data fusion 
    Gawde-Prabhudesai, S.; Patil, S.; SatishKumar; Kamat, P.; Kotecha, K. (Decision Analytics Journal. 10; 2024; ArticleID_100425.)
    Industry 4.0 denotes smart manufacturing, where rotating machines predominantly serve as the fundamental components in production sectors. The primary duty of maintenance engineers is to upkeep these vital machines, aiming ...
  • Machine learning based technique to predict the water adulterant in milk using portable near infrared spectroscopy 
    Lanjewar, M.; Parab, J.S.; Kamat, R.K. (Journal of Food Composition and Analysis. 131; 2024; ArticleID_106270.)
    Milk adulteration is a significant problem globally, as it is the most widely consumed and essential food product. Due to this, monitoring milk quality is necessary for sustaining human health. A Machine Learning (ML) based ...

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