C. Nandini

Addressing the Challenge of Hybridization: An Empirical Strategy Using Partial Male Sterility and Virescence Lines in the Hybrid Breeding of Finger Millet ( Eluesine coracana )

J. Meenakshi, T. E. Nagaraja, M. V. C. Gowda, S. Gazala Parveen et autres

ABSTRACT Finger millet, which is predominantly self‐pollinated with cleistogamous flowers, tends to avoid cross‐pollination, leading to yield stagnation and reduced variability. Partial male sterile (PS) lines, marked by virescent seedlings, facilitate the crossing programme and help identify true hybrids in the nursery. …

in (code pays fourni par la source)

Autism Spectrum Disorder Early Detection and Support Platform with OpenCV, VGG16 Deep Learning Model and NLP Concepts

S. Shalini, C. Nandini, M. R. Lakshmi, Koustav Biswas et autres

in (code pays fourni par la source)

Reinforcement Learning for Tetris Game with Genetic Algorithms

C. Nandini, M. S. Shalini, Koustav Biswas, Prabal Dar et autres

Tetris is a classic tile-matching puzzle video game that Alexey Pajitnov designed and developed in 1984. Despite seeming simple, Tetris poses a significant challenge for Artificial Intelligence (AI) systems due to its dynamic gameplay and complex strategies. At its core, Tetris is …

in (code pays fourni par la source)

Proso Millet (Panicum miliaceum): The Prodigious Millet for Diverse Uses

C. Nandini, Dinesh Chandra Joshi, Vetriventhan Mani, Boregowda Nandini et autres

in (code pays fourni par la source)

Comparative analysis of machine learning models for lung cancer detection

K. Pradeep, Ch. S. N. Murthy, Salma Itagi, R Jeevaraj et autres

Lung cancer is one of the common and fatal type of cancer today. Improving patient outcomes and survival rates is contingent upon early identification. The authors are using five ML models namely logistic regression, random forest, Bernoulli Naive Bayes, Gaussian Naive Bayes, …

Assessment of heterosis for key growth and early harvest traits in okra using line × tester mating design

N Pallavi, Prakash Kerure, V. Srinivasa, C. Nandini et autres

A field study was conducted during 2024–2025 at the experimental site of the Department of Vegetable Science, College of Horticulture, Hiriyur, Chitradurga district, Karnataka, to evaluate heterosis for key growth and early harvest traits in okra using a line by tester mating …

in (code pays fourni par la source)

Prediction of Campus Placement Using Hybrid Logistic Regression Model

Nagaraj M. Lutimath, C. Nandini, Vinutha M R, M Prema Kumar et autres

Higher education decision-making is greatly improved by machine learning (ML), especially when it comes to forecasting student placements that affect career prospects or an institution's standing. The present research suggests an automated early student placement prediction system based on the Logistic Regression …

in (code pays fourni par la source)

DNADeepNNet: Deep Learning Framework for Genomic Sequence Classification and Regulatory Motif Discovery

M Shilpa, C. Nandini, Manasa Sandeep

The integration of Deep learning into the field of bioinformatics has transformed the way biological data is analyzed, interpreted, and utilized. Deep Learning methods can handle vast volumes of high-dimensional and complex data generated by biological research. We propose DNADeepNNet, a Deep …

in (code pays fourni par la source)

Reviving the Abandoned Browntop Millet ( Urochloa ramosa (L.)) for Sustainable Future Food Systems: Current Knowledge and Emerging Paradigms

C. Nandini, Dinesh Chandra Joshi, Theivanayagam Maharajan, Boregowda Nandini et autres

ABSTRACT Out of seven thousand known edible plant species, only a handful of crops satisfy the daily energy needs of the global human population. Although these crops constitute the main source of carbohydrates and energy, they are deficient in important minerals and …

in (code pays fourni par la source)

Emblica officinalis (Amla): An Ayurvedic Legacy with Modern Therapeutic Promise

Sarika Joga, Vasanthi AV, G. Nitiashwarya, A. Thanmai et autres

Emblica officinalis, commonly known as Indian gooseberry or amla, holds a distinguished place in traditional healing systems such as Ayurveda, Siddha, and Unani. Celebrated as a rejuvenating “Rasayana” in Ayurvedic medicine, amla is revered for its remarkable nutritional and therapeutic attributes. The …

Botanicare – Agricultural Portfolio for Medicinal Plants

C. Nandini

Abstract The agriculture sector is undergoing a transformative evolution driven by the integration of cutting-edge technologies such as Artificial Intelligence (AI), Machine Learning (ML), and Computer Vision (CV). These advancements are not only addressing long-standing challenges but also unlocking new possibilities for …

Botanicare – Agricultural Portfolio for Medicinal Plants

C. Nandini

Abstract The agriculture sector is undergoing a transformative evolution driven by the integration of cutting-edge technologies such as Artificial Intelligence (AI), Machine Learning (ML), and Computer Vision (CV). These advancements are not only addressing long-standing challenges but also unlocking new possibilities for …