E-DCNN: Ensemble-Based Deep CNN Model for Acute Lymphoblastic Leukaemia (ALL) Classifier Using Microscopic Blood Smear Images Mahmoud Saed Alkhouli, Hiren Joshi Journal of Multiscale Modelling, 2026 A malignant disease called acute lymphoblastic leukemia (ALL) is exemplified by an anomalous build-up of immature cells in the blood. Early disease detection is closely correlated with effective ALL treatment. The manual examination of stained blood smear microscopy pictures used in current practice in diagnosing ALL is overwhelming in time usage and prone to error. Recently, a potent tool for aiding doctors in making medical decisions has emerged: Artificial intelligence-oriented manual-dependent diagnosis. To automatically recognize ALL in blood pictures, various computer-aided diagnostic techniques have been created. To detect ALL in stained blood smear microscopy pictures, a new Ensemble-based Convolutional Neural Network, E-DCNN model based on Bayesian optimization, is presented in this paper. The proposed E-DCNN model with its hyperparametric values is tailored to the imagery input data using the Ensemble-based Deep learning optimization approach to improve classification performance. An amalgam data repository is created by combining two open ALL datasets and is used to train and validate the suggested CNN. Data augmentation is utilized to enhance the hybrid image set and improve categorization performance. On the test set, the ensemble-based classifier-derived ideal CNN model performed better at image-based ALL classification. The results of this investigation show that the suggested E-DCNN is superior to previous optimized deep learning ALL classification methods.
Financial Data Analysis Using CNN With Feature Selection Proceedings of International Conference on Applied Innovation in IT, 2025
Enhancing Academic Feedback Systems with Deep Learning and Ensemble Methods Hemant S Sharma, Hiren Joshi 1st International Conference on Advances in Computer Science Electrical Electronics and Communication Technologies Ce2ct 2025, 2025 This paper attempts to improve the academic feedback systems via complex deep learning and ensemble methods. Leveraging the NIRF Rankings 2022 dataset that provides radical performance metrics of Indian academic institutions, the project would attempt to develop trustworthy models to monitor and facilitate improvement in the academic feedback system. The techniques used in data preparation prevent missing values, outliers, and categorical data in using advanced machine learning models. In order to construct the model and capture fine-grained patterns linked to academic achievement, 1D Convolutional Neural Networks (CNNs) along with Multi-Layer Perceptrons (MLPs), both individually and in combination, are employed extrapolated from the National Institutional Ranking Framework to obtain data. Precision, accuracy, recall, along with the F1-score will be used to evaluate these models' performance. By the time these findings are finished, they should be able to provide practical advice on how to improve academic evaluations' effectiveness and advance educational institutions' more flexible feedback systems.
The impact of industry 4.0 on manufacturing: Challenges and opportunities Ramesh Chandra Goswami, Hiren Joshi, Sunil Gautam Robotics and Automation in Industry 4 0, 2024 The concept of Industry 4.0 emerged in Europe a decade ago, and later, it was investigated and adopted by academics and industries throughout the world. Due to significant technical improvements in various industries over the past few years, the world's industrial systems have transformed. The major technologies, such as IoT and Big Data, have a large impact on Industry 4.0. They affect each and every sector of the economy. The main advantages include advances in productivity, efficiency, flexibility, decision-making process, and quality of goods and services. The challenges include analyzing the data produced and integrating new technology with the staff and equipment that are already in place. Our goal is to summarize the potential and challenges associated with adopting Industry 4.0 in the manufacturing sector.
E-Learning Systems: A Review Samir R. Thakkar, Hiren D. Joshi Proceedings IEEE 7th International Conference on Technology for Education T4e 2015, 2016
RECENT SCHOLAR PUBLICATIONS
Hybrid model combines deep learning and transformer models to detect fake amazon customer product reviews MMB Alsaad, H Joshi AIP Conference Proceedings 3410 (1), 020015 , 2026 2026
Regression Tree-based Ensemble Method for Short-Term Cloud Workload Prediction on Nonlinear Time Series Data R Prajapati, H Joshi Indian Journal of Science and Technology 19 (8), 481-497 , 2026 2026
E-DCNN: Ensemble-Based Deep CNN Model for Acute Lymphoblastic Leukaemia (ALL) Classifier Using Microscopic Blood Smear Images MS Alkhouli, H Joshi Journal of Multiscale Modelling, 2640004 , 2026 2026
Financial Data Analysis Using CNN With Feature Selection A Salih, H Joshi Proceedings of the International Conference on Applied Innovations in IT … , 2025 2025
Nonlinear Structure Detection in Cloud Workload Series: A Comparative Study of Testing Methods R Prajapati, H Joshi International Conference on Advancements in Smart Computing and Information … , 2025 2025
Spam bot detection on Twitter platform using positional attention based dense convolutional neural network HG Shah, H Joshi Applied Soft Computing, 113725 , 2025 2025 Citations: 2
Detection on Yelp Electronics Product Dataset Using Machine Learning MMB Alsaad, H Joshi Proceedings of International Conference on Next-Generation Communication and … , 2025 2025
Integrating Deep Learning into Electronic Health Records: Opportunities and Challenges RC Goswami, H Joshi, S Gautam Deep Learning and Computer Vision: Models and Biomedical Applications … , 2025 2025 Citations: 1
Enhancing Academic Feedback Systems with Deep Learning and Ensemble Methods H Sharma, H Joshi 2025 First International Conference on Advances in Computer Science … , 2025 2025
Enhancing security in IoT: a review of intrusion detection systems using edge computing RC Goswami, H Joshi, S Gautam, M Zuhair Intelligent Computing and Communication Techniques, 608-615 , 2025 2025 Citations: 3
Integrating moral values in AI: addressing ethical challenges for fair and responsible technology K Shah, H Joshi, H Joshi Journal of Informatics and Web Engineering 4 (1), 213-227 , 2025 2025 Citations: 13
Intelligent chat conversation and dialogue management for Gujarati dialogue R Parikh, H Joshi SN Computer Science 6 (1), 28 , 2024 2024 Citations: 1
Enhanced Feature Fusion Techniques for Acute Leukemia Detection in Microscopic Blood Cells MS Alkhouli, H Joshi 2024 5th International Conference on Communication, Computing & Industry 6.0 … , 2024 2024
Trans-SegNet-Deep Transfer Learning Approach to Detect Abnormalities in Microscopic Blood Smear Images for Medical Image Segmentation MS Alkhouli, H Joshi 2024 5th International Conference on Communication, Computing & Industry 6.0 … , 2024 2024
A Framework for Online Fake Review Detection on Yelp Electronics Product Dataset Using Machine Learning Techniques MMB Alsaad, H Joshi International Conference on Next-Generation Communication and Computing, 409-423 , 2024 2024
The Impact of Industry 4.0 on Manufacturing: Challenges and Opportunities RC Goswami, H Joshi, S Gautam Robotics and Automation in Industry 4.0, 64-82 , 2024 2024
Detecting source code plagiarism in student assignment submissions using clustering techniques RS Mehsen, MM Kazi, H Joshi Journal of Techniques 6 (2), 18-28 , 2024 2024 Citations: 6
Performance analysis for optimized light weight CNN model for leukemia detection and classification using microscopic blood smear images MS Alkhouli, H Joshi Scalable Computing: Practice and Experience 25 (3), 1716-1727 , 2024 2024 Citations: 4
Detection of Source Code Plagiarism Utilizing an Approach Based on Machine Learning. RS Mehsen, HD Joshi Int. J. Comput. 23 (1), 78-84 , 2024 2024 Citations: 2
Use of Supervised Machine Learning Classifiers for Online Fake Review Detection MMB Alsaad, H Joshi Journal of Applied Optics, 49-70 , 2024 2024 Citations: 1
MOST CITED SCHOLAR PUBLICATIONS
Students’ Attitude towards E-learning S Thakkar, H Joshi International Journal of advance engineering and research development 4 (11 … , 2017 2017 Citations: 54
E-learning systems: a review SR Thakkar, HD Joshi 2015 IEEE Seventh International Conference on Technology for Education (T4E … , 2015 2015 Citations: 50
Impact of technology availability and self-efficacy on e-learning usage SR Thakkar, HD Joshi International Journal for Research in Applied Science & Engineering … , 2018 2018 Citations: 20
Source Code Plagiarism Detection'SCPDet': A Review TP Gondaliya, HD Joshi, H Joshi International Journal of Computer Applications 105 (17) , 2014 2014 Citations: 18
QoS Based Virtual Machine Consolidation for Energy Efficient and Economic Utilization of Cloud Resources R Prajapati, H Joshi, S Degadwala 2023 International Conference on Self Sustainable Artificial Intelligence … , 2023 2023 Citations: 16
Integrating moral values in AI: addressing ethical challenges for fair and responsible technology K Shah, H Joshi, H Joshi Journal of Informatics and Web Engineering 4 (1), 213-227 , 2025 2025 Citations: 13
New Big Things in Era of Digital Data - 'Big Data' & Big Data Challenges with Its Solution Using Different Tools TP Gondaliya, HD Joshi, H Joshi 10th International Caliber 2015, 496-507 , 2015 2015 Citations: 12
Gujarati Speech Recognition – A Review P Rachana, H Joshi TEST Engineering and Management 83 (July - August 2020), 549-553 , 2020 2020 Citations: 10
Transformer-Based Language deep learning detection of fake reviews on online products H Joshi J. Electr. Syst 20 (3), 2368-2378 , 2024 2024 Citations: 8
BIOMET: A multimodal biometric authentication system for person identification and verification using fingerprint and face recognition H D Joshi International Journal of Computer Applications 51 (17), 7-12 , 2012 2012 Citations: 8
Pooling Business Intelligence and Dashboard Technology for Decisions Making in Higher Education Institutions H Sharma, HD Joshi 2022 Citations: 7
Detecting source code plagiarism in student assignment submissions using clustering techniques RS Mehsen, MM Kazi, H Joshi Journal of Techniques 6 (2), 18-28 , 2024 2024 Citations: 6
Smart approach to recognize public grievance from microblogs K Shah, H Joshi, H Joshi Towar. Excell. UGC HRDC GU 13 (02), 57-69 , 2021 2021 Citations: 5
Performance Analysis and Enhancement of UTM Device in Local Area Network AJ Ashvin Alagiya, Hiren Joshi International Journal of Modern Education and Computer Science (IJMECS) 5 … , 2013 2013 Citations: 5
A Bespoke Technique for Secret Messaging M Pandya, H Joshi, A Jani International Journal of Computer Network and Information Security (IJCNIS … , 2013 2013 Citations: 5
Performance analysis for optimized light weight CNN model for leukemia detection and classification using microscopic blood smear images MS Alkhouli, H Joshi Scalable Computing: Practice and Experience 25 (3), 1716-1727 , 2024 2024 Citations: 4
A Novel Digital Watermarking Algorithm using Random Matrix Image M Pandya, H Joshi, A Jani International Journal of Computer Applications (IJCA) 61 (2), 18-21 , 2013 2013 Citations: 4
Enhancing security in IoT: a review of intrusion detection systems using edge computing RC Goswami, H Joshi, S Gautam, M Zuhair Intelligent Computing and Communication Techniques, 608-615 , 2025 2025 Citations: 3
Combination between deep learning and transformer models to detect fake Yelp electronic product reviews MMB ALSAAD Journal of Computational Analysis and Applications, Eudoxus Press, LLC , 2024 2024 Citations: 3
Applications of Big Data and Internet of Things in Power System RC Goswami, H Joshi, S Gautam, H Om Lecture Notes in Networks and Systems Architectural Wireless Networks … , 2021 2021 Citations: 3
