Dreaming of adaptive interface agents. - Bill Tomlinson; Eric P. S. Baumer; Man Lok Yau; Paul Mac Alpine; Lorenzo Canales; Andrew Correa; Bryant Hornick; Anju Sharma (CHI Extended Abstracts, 2007)

Setup Planning and Operation Sequencing Using Neural Network and Genetic Algorithm. - Ravinder Singh Joshi; Navdeep Kumar; Anju Sharma (ITNG, 2008)

Comparative Analysis of Resource Discovery Approaches in Grid Computing. - Anju Sharma; Seema Bawa (J. Comput., 2008)

Contemporary study of cloud computing environment. - Vinay Kukreja; Jaiteg Singh; Anju Sharma (ACAI, 2011)

MSubCellProt: Predicting Protein Multiple Subcellular Localization using Machine Learning. - Prabha Garg; Anju Sharma; Rajender Kumar; Pawan Gupta; Nilanjan Roy (BICoB, 2011)

Cultural Computing: A Case Study of Northern Indian Culture. - Bhupinder Kochhar; Anju Sharma; Ashish Jolly (Culture and Computing, 2011)

SERVmegh: framework for green cloud. - Ashok Kumar 003; Anju Sharma; Rajesh Kumar 013 (Concurr. Comput. Pract. Exp., 2017)

Strategies for replica consistency in data grid - a comprehensive survey. - Priyanka Vashisht; Anju Sharma; Rajesh Kumar 013 (Concurr. Comput. Pract. Exp., 2017)

Energy Aware Resource Allocation for Clouds Using Two Level Ant Colony Optimization. - Ashok Kumar 003; Rajesh Kumar 013; Anju Sharma (Comput. Informatics, 2018)

EQUAL: Energy and QoS Aware Resource Allocation Approach for Clouds. - Ashok Kumar 003; Rajesh Kumar 013; Anju Sharma (Comput. Informatics, 2018)

Fog computing: from architecture to edge computing and big data processing. - Simar Preet Singh; Anand Nayyar; Rajesh Kumar 013; Anju Sharma (J. Supercomput., 2019)

Designing of fog based FBCMI2E Model using machine learning approaches for intelligent communication systems. - Simar Preet Singh; Anju Sharma; Rajesh Kumar 013 (Comput. Commun., 2020)

GTM-CSec: Game theoretic model for cloud security based on IDS and honeypot. - Komal Singh Gill; Sharad Saxena; Anju Sharma (Comput. Secur., 2020)

Efficient content retrieval in fog zone using Nano-Caches. - Simar Preet Singh; Rajesh Kumar 013; Anju Sharma (Concurr. Comput. Pract. Exp., 2020)

A swarm intelligence-based quality of service aware resource allocation for clouds. - Ashok Kumar 003; Anju Sharma; Rajesh Kumar 013 (Int. J. Ad Hoc Ubiquitous Comput., 2020)

Design and exploration of load balancers for fog computing using fuzzy logic. - Simar Preet Singh; Anju Sharma; Rajesh Kumar 013 (Simul. Model. Pract. Theory, 2020)

SMILES to Smell: Decoding the Structure-Odor Relationship of Chemical Compounds Using the Deep Neural Network Approach. - Anju Sharma; Rajnish Kumar; Shabnam Ranjta; Pritish Kumar Varadwaj (J. Chem. Inf. Model., 2021)

OBPred: feature-fusion-based deep neural network classifier for odorant-binding protein prediction. - Anju Sharma; Rajnish Kumar; Pritish Kumar Varadwaj (Neural Comput. Appl., 2021)

GTA-IDS: Game Theoretic Approach to Enhance IDS Detection in Cloud Environment. - Komal Singh Gill; Sharad Saxena; Anju Sharma (Comput. Informatics, 2022)

Energy efficient load balancing hybrid priority assigned laxity algorithm in fog computing. - Simar Preet Singh; Rajesh Kumar 013; Anju Sharma; Jemal H. Abawajy; Ravneet Kaur (Clust. Comput., 2022)

Bibliometric analysis of rumor detection via web of science from 1989 to 2021. - Neetu Rani; Amit Kumar Bhardwaj; Prasenjit Das 007; Anju Sharma (Concurr. Comput. Pract. Exp., 2022)

Leveraging energy-efficient load balancing algorithms in fog computing. - Simar Preet Singh; Rajesh Kumar 013; Anju Sharma; Anand Nayyar (Concurr. Comput. Pract. Exp., 2022)

OlfactionBase: a repository to explore odors, odorants, olfactory receptors and odorant-receptor interactions. - Anju Sharma; Bishal Kumar Saha; Rajnish Kumar; Pritish Kumar Varadwaj (Nucleic Acids Res., 2022)

DeepOlf: Deep Neural Network Based Architecture for Predicting Odorants and Their Interacting Olfactory Receptors. - Anju Sharma; Rajnish Kumar; Rahul Semwal; Imlimaong Aier; Pankaj Tyagi; Pritish Kumar Varadwaj (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

A systematic review on resource provisioning in fog computing. - Kirandeep Kaur; Arjan Singh; Anju Sharma (Trans. Emerg. Telecommun. Technol., 2023)

Deep learning-based prediction model for diagnosing gastrointestinal diseases using endoscopy images. - Anju Sharma; Rajnish Kumar; Prabha Garg (Int. J. Medical Informatics, 2023)

NCGTM: A Noncooperative Game-Theoretic Model to Assist IDS in Cloud Environment. - Komal Singh Gill; Sharad Saxena; Anju Sharma (IEEE Trans. Ind. Informatics, 2024)

GTBNN: game-theoretic and bayesian neural networks to tackle security attacks in intelligent transportation systems. - Komal Singh Gill; Sharad Saxena; Anju Sharma; Arwinder Dhillon (Clust. Comput., 2024)