Search Results - "Kumar, Kranti"

A comprehensive review of machine learning applications for internet of nano things: challenges and future directions.

Authors: Rana, Aryan Gautam, Deepika Kumar, Pankaj et al.

Source: Artificial Intelligence Review; Jul2025, Vol. 58 Issue 7, p1-76, 76p

Competing Magnetic Interactions in the Antiferromagnetic Kagome Semimetal Fe1-yCoySn.

Authors: Vijay, Kritika Kumar, Kranti Banik, Soma

Source: Journal of Superconductivity & Novel Magnetism; Apr2025, Vol. 38 Issue 2, p1-6, 6p

A Review on Developments in Evolutionary Computation Approaches for Road Traffic Flow Prediction: A Review on Developments in Evolutionary Computation Approaches for Road...: B. Naheliya et al.

Authors: Naheliya, Bharti Redhu, Poonam Kumar, Kranti

Source: Archives of Computational Methods in Engineering; Apr2025, Vol. 32 Issue 3, p1499-1523, 25p

Calorimetric Investigation of Magnetic Transitions in GdPdAl and TbPdAl.

Authors: Tiwari, Priyanshi Joshi, Rajeev Karmakar, Suman et al.

Source: Journal of Superconductivity & Novel Magnetism; Oct2024, Vol. 37 Issue 8-10, p1773-1778, 6p

On Hysteresis and Magnetocaloric Effect in CoS1.76Se0.24.

Authors: Karmakar, Suman Joshi, Rajeev Kumar, Kranti et al.

Source: Journal of Superconductivity & Novel Magnetism; Jul2024, Vol. 37 Issue 5-7, p1229-1233, 5p

Diurnal rail noise measurement, analysis, and evaluation of associated health impacts on residents living in the proximity of rail track area.

Authors: Kumar, Kranti Bhartia, Arun Mishra, Rajeev Kumar et al.

Source: Environmental Monitoring & Assessment. Jun2024, Vol. 196 Issue 6, p1-22. 22p.

Hytranet: a deep learning model for traffic congestion prediction in road networks.

Authors: Kumar, Manoj Kumar, Kranti

Source: Journal of Combinatorial Optimization; Jan2026, Vol. 51 Issue 1, p1-22, 22p

Short-term traffic flow prediction in heterogeneous traffic conditions using Gaussian process regression.

Authors: Bharti Naheliya, Bharti Kumar, Kranti

Source: International Journal of Information Technology (2511-2104); Dec2025, Vol. 17 Issue 9, p5661-5671, 11p

Brain tumor diagnosis using hybrid quantum-classical neural networks.

Authors: Ranga, Deepak Prajapat, Sunil Kumar, Kranti et al.

Source: Neural Computing & Applications; Oct2025, Vol. 37 Issue 30, p25535-25554, 20p

Exploring the Evolution of Feature Extraction Methods in Brain–Computer Interfaces (BCIs): A Systematic Review of Research Progress and Future Trends.

Authors: Thakur, Shweta Thakur, Samriti Rana, Aryan et al.

Source: WIREs: Data Mining & Knowledge Discovery; Sep2025, Vol. 15 Issue 3, p1-31, 31p

Valence fluctuations in Co-doped FeSn antiferromagnetic kagome semimetal.

Authors: Vijay, Kritika Joshi, Rajeev Kumar, Kranti et al.

Source: Journal of Applied Physics; 5/28/2025, Vol. 137 Issue 20, p1-12, 12p

A review of bus arrival time prediction using artificial intelligence.

Authors: Singh, Nisha Kumar, Kranti

Source: WIREs: Data Mining & Knowledge Discovery. Jul/Aug2022, Vol. 12 Issue 4, p1-29. 29p.

Analytical method to solve the local fractional vehicular traffic flow model.

Authors: Singh, Nisha Kumar, Kranti Goswami, Pranay et al.

Source: Mathematical Methods in the Applied Sciences. May2022, Vol. 45 Issue 7, p3983-4001. 19p.

Attention based spatiotemporal model for short-term traffic flow prediction.

Authors: Singh, Nisha Kumar, Kranti Pokhriyal, Bhawna

Source: International Journal of Systems Assurance Engineering & Management; Apr2025, Vol. 16 Issue 4, p1517-1531, 15p

Bi-State Prediction Network Model for Mixed Traffic Congestion Prediction.

Authors: Kumar, Manoj Kumar, Kranti

Source: International Journal of Computational Intelligence & Applications. Sep2024, Vol. 23 Issue 3, p1-16. 16p.

Subjects: Artificial neural networks, Traffic congestion, Camcorders, Deep learning, Time perspective

Structural, magnetic, dielectric and 57Fe Mössbauer spectroscopic studies on Fe1-xCexVO4: a type-II multiferroic material.

Authors: Bera, Ganesh Surampalli, Akash Mal, P. et al.

Source: Journal of Materials Science: Materials in Electronics; Mar2021, Vol. 32 Issue 6, p7399-7409, 11p

A local fractional modified Crank–Nicolson scheme for fractal LWR model of traffic flow.

Authors: Goswami, Pranay Pokhriyal, Bhawna Kumar, Kranti

Source: International Journal of Geometric Methods in Modern Physics. Jan2026, Vol. 23 Issue 1, p1-20. 20p.

Traffic congestion forecasting using multilayered deep neural network.

Authors: Kumar, Kranti Kumar, Manoj Das, Pritikana

Source: Transportation Letters. Aug2024, Vol. 16 Issue 6, p516-526. 11p.

NANO UREA FERTILISATION ON PRODUCTIVITY AND PROFITABILITY OF FORAGE SORGHUM.

Authors: SHUKLA, D. K. RANA, RASHMI KUMAR, KRANTI et al.

Source: Forage Research. Dec2025, Vol. 51 Issue 3, p310-314. 5p.

Traffic Congestion Prediction Using Feature Series LSTM Neural Network and a New Congestion Index.

Authors: Kumar, Manoj Kumar, Kranti

Source: International Journal on Artificial Intelligence Tools. Mar2024, Vol. 33 Issue 2, p1-26. 26p.

Subjects: Traffic flow, Traffic congestion, Traffic speed, Cities & towns, Forecasting

Geographic Terms: Delhi (India)