On Construction of Multi-class Binary Neural Networks. - Narendra S. Chaudhari; Aruna Tiwari (IICAI, 2007)

A multiclass classifier using Genetic Programming. - Narendra S. Chaudhari; Anuradha Purohit; Aruna Tiwari (ICARCV, 2008)

Performance evaluation of SVM based semi-supervised classification algorithm. - Narendra S. Chaudhari; Aruna Tiwari; Jaya Thomas (ICARCV, 2008)

Improved Genetic Programming Based Multiclass Classifier Using a New Crossover Operator. - Anuradha Purohit; Siddharth Jain; Surabhi Khandelwal; Aruna Tiwari; Narendra S. Chaudhari (IICAI, 2009)

Constructive Semi-Supervised Classification Algorithm and Its Implement in Data Mining. - Arvind Singh Chandel; Aruna Tiwari; Narendra S. Chaudhari (PReMI, 2009)

Construction of classifier with feature selection based on genetic programming. - Anuradha Purohit; Narendra S. Chaudhari; Aruna Tiwari (IEEE Congress on Evolutionary Computation, 2010)

Binary Neural Network Classifier and it's bound for the number of hidden layer neurons. - Narendra S. Chaudhari; Aruna Tiwari (ICARCV, 2010)

A novel SVM based approach for noisy data elemination. - Narendra S. Chaudhari; Aruna Tiwari; Jaya Thomas (ICARCV, 2010)

Handling the Problem of Code Bloating to Enhance the Performance of Classifier Designed Using Genetic Programming. - Anuradha Purohit; Arpit Bhardwaj; Aruna Tiwari; Narendra S. Chaudhari (IICAI, 2011)

Fuzzy Rough Set Approach Based Classifier. - Alpna Singh; Aruna Tiwari; Sujata Naegi (SEMCCO (1), 2011)

Multi-class Classification Using an Improved Multiobjective Simultaneous Learning Framework. - Neha Bharill; Aruna Tiwari (SocProS (2), 2011)

Performance improvement in genetic programming using modified crossover and node mutation. - Arpit Bhardwaj; Aruna Tiwari (GECCO (Companion), 2013)

A Novel Genetic Programming Based Classifier Design Using a New Constructive Crossover Operator with a Local Search Technique. - Arpit Bhardwaj; Aruna Tiwari (ICIC (1), 2013)

Handling Big Data with Fuzzy Based Classification Approach. - Neha Bharill; Aruna Tiwari (WCSC, 2013)

A genetically optimized neural network for classification of breast cancer disease. - Arpit Bhardwaj; Aruna Tiwari; Dharmil Chandarana; Darshil Babel (BMEI, 2014)

Quantum Inspired Binary Neural Network Algorithm. - Om Prakash Patel; Aruna Tiwari (ICIT, 2014)

Enhanced cluster validity index for the evaluation of optimal number of clusters for Fuzzy C-Means algorithm. - Neha Bharill; Aruna Tiwari (FUZZ-IEEE, 2014)

Classification of EEG signals using a novel genetic programming approach. - Arpit Bhardwaj; Aruna Tiwari; M. Vishaal Varma; M. Ramesh Krishna (GECCO (Companion), 2014)

Liver Disease Diagnosis Using Quantum-based Binary Neural Network Learning Algorithm. - Om Prakash Patel; Aruna Tiwari (SocProS (2), 2014)

A Novel Technique of Feature Extraction Based on Local and Global Similarity Measure for Protein Classification. - Neha Bharill; Aruna Tiwari (BIOINFORMATICS, 2015)

A Quantum-Inspired Fuzzy based Evolutionary algorithm for data clustering. - Om Prakash Patel; Neha Bharill; Aruna Tiwari (FUZZ-IEEE, 2015)

An Analysis of Integration of Hill Climbing in Crossover and Mutation operation for EEG Signal Classification. - Arpit Bhardwaj; Aruna Tiwari; M. Vishaal Varma; M. Ramesh Krishna (GECCO, 2015)

Advance quantum based binary neural network learning algorithm. - Om Prakash Patel; Aruna Tiwari (SNPD, 2015)

An Enhanced Quantum-Inspired Evolutionary Fuzzy Clustering. - Neha Bharill; Om Prakash Patel; Aruna Tiwari (SSCI, 2015)

Quantum Based Neural Network Classifier and Its Application for Firewall to Detect Malicious Web Request. - Om Prakash Patel; Aruna Tiwari; Vikram Patel; Ojas Gupta (SSCI, 2015)

Breast cancer diagnosis using Genetically Optimized Neural Network model. - Arpit Bhardwaj; Aruna Tiwari (Expert Syst. Appl., 2015)

Fuzzy Based Clustering Algorithms to Handle Big Data with Implementation on Apache Spark. - Neha Bharill; Aruna Tiwari; Aayushi Malviya (BigDataService, 2016)

Construction of multi-class classifiers by Extreme Learning Machine based one-class classifiers. - Chandan Gautam; Aruna Tiwari; Sriram Ravindran (IJCNN, 2016)

A novel genetic programming approach for epileptic seizure detection. - Arpit Bhardwaj; Aruna Tiwari; M. Ramesh Krishna; M. Vishaal Varma (Comput. Methods Programs Biomed., 2016)

A genetically optimized neural network model for multi-class classification. - Arpit Bhardwaj; Aruna Tiwari; Harshit Bhardwaj; Aditi Bhardwaj (Expert Syst. Appl., 2016)

Fuzzy Based Scalable Clustering Algorithms for Handling Big Data Using Apache Spark. - Neha Bharill; Aruna Tiwari; Aayushi Malviya (IEEE Trans. Big Data, 2016)

Online Learning with Regularized Kernel for One-class Classification. - Chandan Gautam; Aruna Tiwari; Suresh Sundaram 002; Kapil Ahuja (CoRR, 2017)

On the construction of extreme learning machine for online and offline one-class classification - An expanded toolbox. - Chandan Gautam; Aruna Tiwari; Qian Leng (Neurocomputing, 2017)

A review of clustering techniques and developments. - Amit Saxena 001; Mukesh Prasad; Akshansh Gupta; Neha Bharill; Om Prakash Patel; Aruna Tiwari; Meng Joo Er; Weiping Ding 001; Chin-Teng Lin (Neurocomputing, 2017)

SysEvoRecomd: Graph Evolution and Change Learning Based System Evolution Recommender. - Animesh Chaturvedi 001; Aruna Tiwari (ICDM Workshops, 2018)

Localized Multiple Kernel Support Vector Data Description. - Chandan Gautam; Aruna Tiwari (ICDM Workshops, 2018)

System Evolution Analytics: Deep Evolution and Change Learning of Inter-Connected Entities. - Animesh Chaturvedi 001; Aruna Tiwari (SMC, 2018)

System Evolution Analytics: Evolution and Change Pattern Mining of Inter-Connected Entities. - Animesh Chaturvedi 001; Aruna Tiwari (SMC, 2018)

Breast Cancer Diagnosis using Simultaneous Feature Selection and Classification: A Genetic Programming Approach. - Harshit Bhardwaj; Aditi Sakalle; Arpit Bhardwaj; Aruna Tiwari; Madhushi Verma (SSCI, 2018)

On the Construction of Hierarchical Broad Learning Neural Network: An Alternative Way of Deep Learning. - Vikas Chauhan; Aruna Tiwari (SSCI, 2018)

Minimum Variance-Embedded Multi-layer Kernel Ridge Regression for One-class Classification. - Chandan Gautam; Aruna Tiwari; Alexandros Iosifidis (SSCI, 2018)

A Computational Analysis of Protein Sequences for Cyclophilin Superfamily using Feature Extraction. - Neha Mehra; Aruna Tiwari; Milind B. Ratnaparkhe; Neha Bharill (SSCI, 2018)

Scaled and Projected Spectral Clustering with Vector Quantization for Handling Big Data. - Vishal Nemade; Aditya Shastri; Kapil Ahuja; Aruna Tiwari (SSCI, 2018)

Multi-layer Kernel Ridge Regression for One-class Classification. - Chandan Gautam; Aruna Tiwari; Suresh Sundaram 002; Alexandros Iosifidis (CoRR, 2018)

Quantum-inspired evolutionary approach for selection of optimal parameters of fuzzy clustering. - Neha Bharill; Om Prakash Patel; Aruna Tiwari (Int. J. Syst. Assur. Eng. Manag., 2018)

Genetically Optimized Deep Neural Learning for Breast Cancer Prediction. - Suchitra Agrawal; Aruna Tiwari; Ishan Goel (SocProS (2), 2019)

A Generalized Enhanced Quantum Fuzzy Approach for Efficient Data Clustering. - Neha Bharill; Om Prakash Patel; Aruna Tiwari; Lifeng Mu; Dong-Lin Li; Manoranjan Mohanty; Omprakash Kaiwartya; Mukesh Prasad (IEEE Access, 2019)

Advanced Quantum Based Neural Network Classifier and Its Application for Objectionable Web Content Filtering. - Om Prakash Patel; Neha Bharill; Aruna Tiwari; Vikram Patel; Ojas Gupta; Jian Cao 001; Jun Li 010; Mukesh Prasad (IEEE Access, 2019)

Sparse pinball twin support vector machines. - Muhammad Tanveer 001; Aruna Tiwari; Rahul Choudhary; Sanchit Jalan (Appl. Soft Comput., 2019)

Graph-Embedded Multi-layer Kernel Extreme Learning Machine for One-class Classification or (Graph-Embedded Multi-layer Kernel Ridge Regression for One-class Classification). - Chandan Gautam; Aruna Tiwari; Muhammad Tanveer 001 (CoRR, 2019)

OCKELM+: Kernel Extreme Learning Machine based One-class Classification using Privileged Information (or KOC+: Kernel Ridge Regression or Least Square SVM with zero bias based One-class Classification using Privileged Information). - Chandan Gautam; Aruna Tiwari; Muhammad Tanveer 001 (CoRR, 2019)

Classification of electroencephalogram signal for the detection of epilepsy using Innovative Genetic Programming. - Harshit Bhardwaj; Aditi Sakalle; Arpit Bhardwaj; Aruna Tiwari (Expert Syst. J. Knowl. Eng., 2019)

KOC+: Kernel ridge regression based one-class classification using privileged information. - Chandan Gautam; Aruna Tiwari; Muhammad Tanveer 001 (Inf. Sci., 2019)

Localized Multiple Kernel learning for Anomaly Detection: One-class Classification. - Chandan Gautam; Ramesh Balaji; Sudharsan K; Aruna Tiwari; Kapil Ahuja (Knowl. Based Syst., 2019)

Enhanced quantum-based neural network learning and its application to signature verification. - Om Prakash Patel; Aruna Tiwari; Rishabh Chaudhary; Sai Vidyaranya Nuthalapati; Neha Bharill; Mukesh Prasad; Farookh Khadeer Hussain; Omar Khadeer Hussain (Soft Comput., 2019)

L2L: A Highly Accurate Log_2_Lead Quantization of Pre-trained Neural Networks. - Salim Ullah; Siddharth Gupta 004; Kapil Ahuja; Aruna Tiwari; Akash Kumar 001 (DATE, 2020)

Multi-Label classifier based on Kernel Random Vector Functional Link Network. - Vikas Chauhan; Aruna Tiwari; Shivvrat Arya (IJCNN, 2020)

ALigN: A Highly Accurate Adaptive Layerwise Log_2_Lead Quantization of Pre-Trained Neural Networks. - Siddharth Gupta 004; Salim Ullah; Kapil Ahuja; Aruna Tiwari; Akash Kumar 001 (IEEE Access, 2020)

AEKOC+: Kernel Ridge Regression-Based Auto-Encoder for One-Class Classification Using Privileged Information. - Chandan Gautam; Aruna Tiwari; Muhammad Tanveer 001 (Cogn. Comput., 2020)

Fuzzy knowledge based performance analysis on big data. - Neha Bharill; Aruna Tiwari; Aayushi Malviya; Om Prakash Patel; Akahansh Gupta; Deepak Puthal; Amit Saxena 001; Mukesh Prasad (Neurocomputing, 2020)

Minimum variance-embedded deep kernel regularized least squares method for one-class classification and its applications to biomedical data. - Chandan Gautam; Pratik K. Mishra; Aruna Tiwari; Bharat Richhariya; Hari Mohan Pandey; Shuihua Wang; Muhammad Tanveer 001 (Neural Networks, 2020)

SysEvoRecomd: Network Reconstruction by Graph Evolution and Change Learning. - Animesh Chaturvedi 001; Aruna Tiwari; Shubhangi Chaturvedi (IEEE Syst. J., 2020)

System Network Complexity: Network Evolution Subgraphs of System State Series. - Animesh Chaturvedi 001; Aruna Tiwari (IEEE Trans. Emerg. Top. Comput. Intell., 2020)

Scalable Fuzzy Clustering-based Regression to Predict the Isoelectric Points of the Plant Protein Sequences using Apache Spark. - Ajay Choudhary; Preeti Jha; Aruna Tiwari; Neha Bharill; Milind B. Ratnaparkhe (FUZZ-IEEE, 2021)

Video Classification using SlowFast Network via Fuzzy rule. - Rituraj; Aruna Tiwari; Santanu Chaudhury; Sanjay Singh 001; Sumeet Saurav (FUZZ-IEEE, 2021)

Improved differential evolution based on multi-armed bandit for multimodal optimization problems. - Suchitra Agrawal; Aruna Tiwari; Prathamesh Naik; Arjun Srivastava (Appl. Intell., 2021)

Apache Spark based kernelized fuzzy clustering framework for single nucleotide polymorphism sequence analysis. - Preeti Jha; Aruna Tiwari; Neha Bharill; Milind B. Ratnaparkhe; Mukkamalla Mounika; Neha Nagendra (Comput. Biol. Chem., 2021)

Graph-Embedded Multi-Layer Kernel Ridge Regression for One-Class Classification. - Chandan Gautam; Aruna Tiwari; Pratik K. Mishra; Suresh Sundaram 002; Alexandros Iosifidis; Muhammad Tanveer 001 (Cogn. Comput., 2021)

Minimum variance embedded auto-associative kernel extreme learning machine for one-class classification. - Pratik K. Mishra; Chandan Gautam; Aruna Tiwari (Neural Comput. Appl., 2021)

Scalable incremental fuzzy consensus clustering algorithm for handling big data. - Preeti Jha; Aruna Tiwari; Neha Bharill; Milind B. Ratnaparkhe; Neha Nagendra; Mukkamalla Mounika (Soft Comput., 2021)

Service Evolution Analytics: Change and Evolution Mining of a Distributed System. - Animesh Chaturvedi 001; Aruna Tiwari; Dave W. Binkley; Shubhangi Chaturvedi (IEEE Trans. Engineering Management, 2021)

A Novel Quantum-Inspired Fuzzy Based Neural Network for Data Classification. - Om Prakash Patel; Neha Bharill; Aruna Tiwari; Mukesh Prasad (IEEE Trans. Emerg. Top. Comput., 2021)

minStab: Stable Network Evolution Rule Mining for System Changeability Analysis. - Animesh Chaturvedi 001; Aruna Tiwari; Nicolas Spyratos (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

A Novel Scalable Kernelized Fuzzy Clustering Algorithms Based on In-Memory Computation for Handling Big Data. - Preeti Jha; Aruna Tiwari; Neha Bharill; Milind B. Ratnaparkhe; Mukkamalla Mounika; Neha Nagendra (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Adaptive Online Learning With Regularized Kernel for One-Class Classification. - Chandan Gautam; Aruna Tiwari; Suresh Sundaram 002; Kapil Ahuja (IEEE Trans. Syst. Man Cybern. Syst., 2021)

A Novel Scalable Feature Extraction Approach for COVID-19 Protein Sequences and their Cluster Analysis with Kernelized Fuzzy Algorithm. - Preeti Jha; Aruna Tiwari; Neha Bharill; Milind B. Ratnaparkhe; Om Prakash Patel; Nilagiri Harshith; Soundarya Lahari Solasa (BigComp, 2022)

HPC enabled a Novel Deep Fuzzy Scalable Clustering Algorithm and its Application for Protein Data. - Preeti Jha; Aruna Tiwari; Neha Bharill; Milind B. Ratnaparkhe; Om Prakash Patel; Vaibhav Anand; Sudhanshu Arya; Tanmay Singh (CIBCB, 2022)

System Network Analytics: Evolution and Stable Rules of a State Series. - Animesh Chaturvedi 001; Aruna Tiwari; Nicolas Spyratos (DSAA, 2022)

A Hybrid Feature Selection Approach for Data Clustering Based on Ant Colony Optimization. - Rajesh Dwivedi; Aruna Tiwari; Neha Bharill; Milind B. Ratnaparkhe (ICONIP (3), 2022)

HPC Based Scalable Logarithmic Kernelized Fuzzy Clustering Algorithms for Handling Big Data. - Preeti Jha; Aruna Tiwari; Neha Bharill; Milind B. Ratnaparkhe; Om Prakash Patel; Sawarkar Saloni; Namani Sreeharsh (ICONIP (5), 2022)

High-Performance Computing based Scalable Online Fuzzy Clustering Algorithms for Big Data. - Preeti Jha; Aruna Tiwari; Neha Bharill; Milind B. Ratnaparkhe; Om Prakash Patel; Rapolu Pulakitha; Aditi Chauhan (SSCI, 2022)

Multi-label classifier for protein sequence using heuristic-based deep convolution neural network. - Vikas Chauhan; Aruna Tiwari; Niranjan Joshi; Sahaj Khandelwal (Appl. Intell., 2022)

Randomized neural networks for multilabel classification. - Vikas Chauhan; Aruna Tiwari (Appl. Soft Comput., 2022)

A Novel Scalable Apache Spark Based Feature Extraction Approaches for Huge Protein Sequence and their Clustering Performance Analysis. - Preeti Jha; Aruna Tiwari; Neha Bharill; Milind B. Ratnaparkhe; Om Prakash Patel; Nilagiri Harshith; Mukkamalla Mounika; Neha Nagendra (CoRR, 2022)

Enhanced Opposition Differential Evolution Algorithm for Multimodal Optimization. - Shatendra Singh; Aruna Tiwari (CoRR, 2022)

Pairnorm based Graphical Convolution Network for zero-shot multi-label classification. - Vikas Chauhan; Aruna Tiwari (Eng. Appl. Artif. Intell., 2022)

Solving multimodal optimization problems using adaptive differential evolution with archive. - Suchitra Agrawal; Aruna Tiwari (Inf. Sci., 2022)

Large-scale pinball twin support vector machines. - Mohammad Tanveer 001; Aruna Tiwari; Rahul Choudhary; M. A. Ganaie 001 (Mach. Learn., 2022)

System Neural Network: Evolution and Change Based Structure Learning. - Animesh Chaturvedi 001; Aruna Tiwari; Shubhangi Chaturvedi; Pietro Liò (IEEE Trans. Artif. Intell., 2022)

MAAD-GAN: Memory-Augmented Attention-Based Discriminator GAN for Video Anomaly Detection. - Anikeit Sethi; Krishanu Saini; Rituraj Singh; Aruna Tiwari; Sumeet Saurav; Sanjay Singh 001; Vikas Chauhan (CVIP (3), 2023)

A Novel Feature Extraction Approach for the Clustering and Classification of Genome Sequences. - Rajesh Dwivedi; Aruna Tiwari; Neha Bharill; Milind B. Ratnaparkhe; Abhishek Tripathi; Preeti Jha (SSCI, 2023)

Scalable Kernelized Deep Fuzzy Clustering Algorithms for Big Data. - Preeti Jha; Aruna Tiwari; Neha Bharill; Milind B. Ratnaparkhe; Om Prakash Patel; Anjali Gupta; Deepali Sukhija; Deepika Sukhija; Rajesh Dwivedi (SSCI, 2023)

Video Anomaly Latent Training GAN (VALT GAN): Enhancing Anomaly Detection Through Latent Space Mining. - Anikeit Sethi; Krishanu Saini; Rituraj Singh; Sumeet Saurav; Aruna Tiwari; Sanjay Singh 001; Vikas Chauhan (SSCI, 2023)

Feature subset selection using multimodal multiobjective differential evolution. - Suchitra Agrawal; Aruna Tiwari; Bhaskar Yaduvanshi; Prashant Rajak (Knowl. Based Syst., 2023)

Apache Spark-based scalable feature extraction approaches for protein sequence and their clustering performance analysis. - Preeti Jha; Aruna Tiwari; Neha Bharill; Milind B. Ratnaparkhe; Om Prakash Patel; Nilagiri Harshith; Mukkamalla Mounika; Neha Nagendra (Int. J. Data Sci. Anal., 2023)

Tackling over-smoothing in multi-label image classification using graphical convolution neural network. - Vikas Chauhan; Aruna Tiwari; Boppudi Venkata; Vislavath Naik (Evol. Syst., 2023)

Differential evolution with nearest better clustering for multimodal multiobjective optimization. - Suchitra Agrawal; Aruna Tiwari; Bhaskar Yaduvanshi; Prashant Rajak (Appl. Soft Comput., 2023)

STemGAN: spatio-temporal generative adversarial network for video anomaly detection. - Rituraj Singh; Krishanu Saini; Anikeit Sethi; Aruna Tiwari; Sumeet Saurav; Sanjay Singh 001 (Appl. Intell., 2023)

Enhancing skeleton-based action recognition using a knowledge-driven shift graph convolutional network. - Ananya Roy; Aruna Tiwari; Sumeet Saurav; Sanjay Singh 001 (Comput. Electr. Eng., 2024)

Obfuscated Memory Malware Detection. - Sharmila S. P; Aruna Tiwari; Narendra S. Chaudhari (CoRR, 2024)

Attention-guided generator with dual discriminator GAN for real-time video anomaly detection. - Rituraj Singh; Anikeit Sethi; Krishanu Saini; Sumeet Saurav; Aruna Tiwari; Sanjay Singh 001 (Eng. Appl. Artif. Intell., 2024)

CVAD-GAN: Constrained video anomaly detection via generative adversarial network. - Rituraj Singh; Anikeit Sethi; Krishanu Saini; Sumeet Saurav; Aruna Tiwari; Sanjay Singh 001 (Image Vis. Comput., 2024)

VALD-GAN: video anomaly detection using latent discriminator augmented GAN. - Rituraj Singh; Anikeit Sethi; Krishanu Saini; Sumeet Saurav; Aruna Tiwari; Sanjay Singh 001 (Signal Image Video Process., 2024)

A novel apache spark-based 14-dimensional scalable feature extraction approach for the clustering of genomics data. - Rajesh Dwivedi; Aruna Tiwari; Neha Bharill; Milind B. Ratnaparkhe; Parul Mogre; Pranjal Gadge; Kethavath Jagadeesh (J. Supercomput., 2024)

An incremental clustering method based on multiple objectives for dynamic data analysis. - Rajesh Dwivedi; Aruna Tiwari; Neha Bharill; Milind B. Ratnaparkhe; Rishabh Soni; Rahul Mahbubani; Saket Kumar (Multim. Tools Appl., 2024)

A taxonomy of unsupervised feature selection methods including their pros, cons, and challenges. - Rajesh Dwivedi; Aruna Tiwari; Neha Bharill; Milind B. Ratnaparkhe; Alok Kumar Tiwari (J. Supercomput., 2024)

Unveiling Evasive Portable Documents with Explainable Kolmogorov-Arnold Networks Resilient to Generative Adversarial Attacks. - Sharmila S. P; Shubham Gupta; Aruna Tiwari; Narendra S. Chaudhari (Appl. Soft Comput., 2025)

On construction of data preprocessing for real-life SoyLeaf dataset & disease identification using Deep Learning Models. - Sujata Gudge; Aruna Tiwari; Milind B. Ratnaparkhe; Preeti Jha (Comput. Biol. Chem., 2025)

A novel chemical property-based, alignment-free scalable feature extraction method for genomic data clustering. - Rajesh Dwivedi; Aruna Tiwari; Neha Bharill; Milind B. Ratnaparkhe; Saurabh Kumar Singh; Abhishek Tripathi (Comput. Electr. Eng., 2025)

Leveraging Memory Forensic Features for Explainable Obfuscated Malware Detection with Isolated Family Distinction Paradigm. - Sharmila S. P; Shubham Gupta; Aruna Tiwari; Narendra S. Chaudhari (Comput. Electr. Eng., 2025)

VectorFit : Adaptive Singular & Bias Vector Fine-Tuning of Pre-trained Foundation Models. - Suhas G. Hegde; Shilpy Kaur; Aruna Tiwari (CoRR, 2025)

A scalable method for extracting features using a complex network from SNP sequences and clustering using the scalable Max of Min algorithm. - Achint Kumar Kansal; Aruna Tiwari; Milind B. Ratnaparkhe; Rajesh Dwivedi; Preeti Jha (Soft Comput., 2025)

An attention mechanism-based hybrid TimeAttentionBiLSTM architecture for long-term traffic forecasting. - Vikas Chauhan; Aruna Tiwari; Arun Kumar (J. Supercomput., 2025)

TexStFusion : a controllable diffusion model using textural, structural, and textual feature fusion. - Suhas G. Hegde; Aruna Tiwari (Signal Image Video Process., 2025)