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Now showing items 1-7 of 7

Development of an analytical model of drain current for junctionless GAA MOSFET including source/drain resistance

Kumari, Amrita; Saha, Jhuma; Saini, Ashish; Kumar, Amit (Routledge, 2024)

Fabrication of devices in deca nanometer regime suffers from several limitations as the devices are being scaled so that the speed and transistor density can be increased. This has led to a series of innovative techniques ...
Dynamic nonlinear active noise control: a multi-objective evolutionary computing approach

Patwardhan, Apoorv P.; Patidar, Rohan; George, Nithin V. (Springer Nature, 2020)

Evolutionary-computing-algorithm-based nonlinear active noise control (ANC) removes the requirement of secondary path modeling, which is essential for proper functioning of a conventional gradient-descent-approach based ...
Force Myography and Its Application to Human Locomotion

Godiyal, Anoop Kant; Verma, Vinay Verma; Khanna, Nitin; Joshi, Deepak (Singapore: Springer Nature, 2019-11)

Locomotion is a highly skillful task that we humans perform using our two limbs to commute from one place to another.
Futuristic AI convergence of megatrends: IoT and cloud computing

Pandey, Chanki; Sahu, Yogesh Kumar; Kannan, Nithiyananthan; Mahmood, Md Rashid; Sethy, Prabira Kumar; Behera, Santi Kumari (John Wiley & Sons, 2022-12)

Recent years have seen increasing curiosity among users in migrating their cloud computing and internet-of-things apps. and internet-of-things infrastructures require specialized hardware to enable software and advanced ...
Next-generation biosensors for infectious disease surveillance: innovations, challenges, and global health impact

Yadav, Nidhi; Tiwari, Ananya; Pandya, Alok; Tripathi, Shubhita (Elsevier, 2025)

Recent advances in next-generation biosensors are transforming on how infectious diseases are monitored and offering rapid, real-time, highly sensitive detection of pathogens. Emerging platforms such as wearable, ingestible, ...
Short-term solar PV generation forecast using neural networks and deep learning models

Sukumar, Shivashankar; Pindoriya, Naran M.; Singh, Sri Niwas (Springer Nature, 2021)

Sukumar, Shivashankar; Pindoriya, Naran M. and Singh, Sri Niwas, "Short-term solar PV generation forecast using neural networks and deep learning models", in Fundamentals and innovations in solar energy, DOI: 10.1007/978 ...
Wavelength modulation spectroscopy

Chakraborty, Arup Lal; Roy, Anirban (Springer Nature, 2021)

This chapter presents a detailed discussion of wavelength modulation spectroscopy (WMS), which has emerged as a leading technology in the development of high-sensitivity gas sensing systems that are widely used to detect ...

Now showing items 1-7 of 7

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