Arunima Jaiswal

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 12

Top Topics

Swarm Intelligence

Swarm Optimization

Convolutional Neural Network

Top Venues

Int. J. Intell. Inf. Technol.

Int. J. Inf. Retr. Res.

Publications

Tanya Dixit, Arunima Jaiswal, Manaswini De
Breast Cancer Classification Using Seahorse Swarm Optimization. SCI (2024)
Avni, Arunima Jaiswal, Amritaya Ray, Swati Gola
Detection of Heart Failure Using Swarm Intelligence. SCI (2024)
Arunima Jaiswal, Ananya Sadana
Early Detection of Alzheimer's Disease using Bottleneck Transformers. CoRR (2023)
Arunima Jaiswal, Himika Verma, Nitin Sachdeva
Empirical Analysis of Fake News Detection using Metaheuristic Approaches. ICCCNT (2023)
Arunima Jaiswal, Ananya Sadana
Early Detection of Alzheimer's Disease Using Bottleneck Transformers. Int. J. Intell. Inf. Technol. 18 (2) (2022)
Ravinder M., Arunima Jaiswal, Shivani Gulati
Deep Learning-Based Object Detection in Diverse Weather Conditions. Int. J. Intell. Inf. Technol. 18 (1) (2022)
Akshi Kumar, Arunima Jaiswal
A Deep Swarm-Optimized Model for Leveraging Industrial Data Analytics in Cognitive Manufacturing. IEEE Trans. Ind. Informatics 17 (4) (2021)
Akshi Kumar, Arunima Jaiswal
Systematic literature review of sentiment analysis on Twitter using soft computing techniques. Concurr. Comput. Pract. Exp. 32 (1) (2020)
Akshi Kumar, Arunima Jaiswal
Swarm intelligence based optimal feature selection for enhanced predictive sentiment accuracy on twitter. Multim. Tools Appl. 78 (20) (2019)
Akshi Kumar, Arunima Jaiswal, Shikhar Garg, Shobhit Verma, Siddhant Kumar
Sentiment Analysis Using Cuckoo Search for Optimized Feature Selection on Kaggle Tweets. Int. J. Inf. Retr. Res. 9 (1) (2019)
Arunima Jaiswal, Ruchika Malhotra
Software reliability prediction using machine learning techniques. Int. J. Syst. Assur. Eng. Manag. 9 (1) (2018)
Akshi Kumar, Arunima Jaiswal
Image Sentiment Analysis Using Convolutional Neural Network. ISDA (2017)
Arunima Jaiswal, Ruchika Malhotra
Software Reliability Prediction Using Machine Learning Techniques. SocProS (1) (2015)