E-LIB Suche - Ergebnisse für: Gupta, Ajit

1

ProkDBP: Toward more precise identification of prokaryotic ..:

Pradhan, Upendra Kumar ; Meher, Prabina Kumar ; Naha, Sanchita...
Protein Science. 33 (2024) 6 - p. , 2024

2

ASPTF: A computational tool to predict abiotic stress-respo..:

Pradhan, Upendra Kumar ; Mahapatra, Anuradha ; Naha, Sanchita...
Biochimica et Biophysica Acta (BBA) - General Subjects. 1868 (2024) 6 - p. 130597 , 2024

Link: https://doi.org/10.1016/..

3

RBProkCNN: Deep learning on appropriate contextual evolutio..:

Pradhan, Upendra Kumar ; Naha, Sanchita ; Das, Ritwika...
Computational and Structural Biotechnology Journal. 23 (2024) - p. 1631-1640 , 2024

Link: https://doi.org/10.1016/..

4

ASmiR: a machine learning framework for prediction of abiot..:

Pradhan, Upendra Kumar ; Meher, Prabina Kumar ; Naha, Sanchita...
Functional & Integrative Genomics. 23 (2023) 2 - p. , 2023

Link: https://doi.org/10.1007/..

5

Evaluation of eight Bayesian genomic prediction models for ..:

Meher, Prabina Kumar ; Gupta, Ajit ; Rustgi, Sachin...
The Plant Genome. 16 (2023) 4 - p. , 2023

Link: https://doi.org/10.1002/..

6

ASLncR: a novel computational tool for prediction of abioti..:

Pradhan, Upendra Kumar ; Meher, Prabina Kumar ; Naha, Sanchita..
Functional & Integrative Genomics. 23 (2023) 2 - p. , 2023

Link: https://doi.org/10.1007/..

7

Predictive Wi-Fi Network Selection: Enhancing User Experien..:

, In: 2023 4th IEEE Global Conference for Advancement in Technology (GCAT),

Akash, V ; Manoj Howale, S ; Gupta, Ajit J.. - p. 1-6 , 2023

Link: https://doi.org/10.1109/..

8

Sarcasm Detection Analysis – Comparative Analysis:

, In: 2023 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS),

Vaidya, Chandu ; Gupta, Ajit ; Shastrakar, Aditya... - p. 1-4 , 2023

Link: https://doi.org/10.1109/..

9

Field management practices in agroforestry systems influenc..:

Prasad, Rajendra ; Arunachalam, A. ; Shukla, Ashok...
Agroforestry Systems. 97 (2023) 8 - p. 1375-1390 , 2023

Link: https://doi.org/10.1007/..

10

RBPLight: a computational tool for discovery of plant-speci..:

Pradhan, Upendra K ; Meher, Prabina K ; Naha, Sanchita...
Briefings in Functional Genomics. 22 (2023) 5 - p. 401-410 , 2023

Link: https://doi.org/10.1093/..

11

DBPMod: a supervised learning model for computational recog..:

Pradhan, Upendra K ; Meher, Prabina K ; Naha, Sanchita...
Briefings in Functional Genomics. 23 (2023) 4 - p. 363-372 , 2023

Link: https://doi.org/10.1093/..

12

ASRpro: A machine‐learning computational model for identify..:

Meher, Prabina Kumar ; Sahu, Tanmaya Kumar ; Gupta, Ajit..
The Plant Genome. 17 (2022) 1 - p. , 2022

Link: https://doi.org/10.1002/..

13

Machine learning techniques for forecasting agricultural pr..:

Paul, Ranjit Kumar ; Yeasin, Md. ; Kumar, Pramod...
PLOS ONE. 17 (2022) 7 - p. e0270553 , 2022

Link: https://doi.org/10.1371/..

14

PlDBPred: a novel computational model for discovery of DNA ..:

Pradhan, Upendra Kumar ; Meher, Prabina Kumar ; Naha, Sanchita...
Briefings in Bioinformatics. 24 (2022) 1 - p. , 2022

Link: https://doi.org/10.1093/..

15

Wavelet Decomposition and Machine Learning Technique for Pr..:

Paul, Ranjit Kumar ; Vennila, Sengottaiyan ; Yeasin, Md...
Agronomy. 12 (2022) 6 - p. 1429 , 2022

Link: https://doi.org/10.3390/..