About Me |
|---|
| My self Dr. Mohammed Siddique received Ph. D in Mathematics in the area of Machine Learning from KIIT, Deemed to be University, Bhubaneswar and completed my M.Sc in Mathematics and M.Tech in Computer Science from Utkal University, Bhubaneswar. Currently, I am working as Asst. Professor in the Department of Mathematics, Centurion University of Technology and Management, Bhubaneswar, Odisha, India. I have more than 16 years of teaching experience. I have more than 50 publications in International Journals; Currently, my research area is Bio-Inspired optimization Techniques. |
- Optimization Technique and Machine Learning
- Mathematics
- Statistics
- Numerical Analysis
- Optimization Techniques
- Reading Books
Research Fields
I have published more than 50 research articles in the field of applied Mathemiticsmachine learning in different International Journals; Currently, my research area is Machine Learning and Optimization Techniques.
I have published the following papers in Scopus/WoS Journals
1. Hybrid forecasting model for stock value prediction using soft computing technique, International Journal of Pure and Applied Mathematics, Vol. 117 (19); 357-363. ISSN:1311-8080 (2017) - SCOPUS
2. A hybrid forecasting model for prediction of stock value of Tata steel using support vector regression and particle swarm optimization, International Journal of Pure and Applied Mathematics, Vol. 119 (14): 1719-1727; ISSN:1311-8080 (2018) - SCOPUS
3. Daily stock market forecasting using kernel principal component analysis, support vector regression, and teaching learning based optimization, International Journal of Management, Technology and Engineering, Vol.8 (12) 3691-3704; ISSN: 2249-7455 (2018) - UGC
4. A hybrid model for forecasting of stock value of Tata steel using orthogonal forward selection, support vector regression and teaching learning based optimization, Far East Journal of Mathematical Sciences, Vol-113 (1): 95-114; ISSN: 0972-0871 (2019) - UGC
5. Prediction of Stock Index of Tata Steel using Hybrid Machine Learning Based Optimization Techniques, International Journal of Recent Technology and Engineering, Vol. 8 (2):3186-3193; ISSN: 2277-3878 (2019) - SCOPUS
6. A hybrid forecasting model for prediction of stock index of Tata Motors using principal component analysis, support vector regression and particle swarm optimization, International Journal of Engineering and Advanced Technology, Vol.9(1): 3032-3037; ISSN: 2249 – 8958 (2019) - SCOPUS
7. Pre-Monsoon Cyclogenesis over Bay of Bengal, International Journal of Recent Technology and Engineering, Vol. 8 (2):3186-3193; ISSN: 2277-3878 (2019) - SCOPUS
8. Study of Effects of Radiation on Heat Transfer of Two Phase Boundary Layer Flow over a Stretching Sheet, International Journal of Recent Technology and Engineering, Vol. 8 (2):4895-4908; ISSN: 2277-3878 (2019) - SCOPUS
9. GIS And Auto Desk Modeling For Satellite Cities around Bhubaneswar, International Journal of Innovative Technology and Exploring Engineering, Vol.8(11): 297-306; ISSN: 2278 – 3075 (2019) - SCOPUS
10. An Autodesk Modeling of Urbanization by Vertical Multistoried Structures over Incompetent Soils, International Journal of Engineering and Advanced Technology, Vol.9(1): 3332-3342; ISSN: 2249 – 8958 (2019) - SCOPUS
11. Optimized Structural Performance of Paver Blocks of Bajri Concrete: NRM Partly Substituting Cement, International Journal of Innovative Technology and Exploring Engineering, Vol.9 (1): 1938-1949; ISSN: 2278 – 3075 (2019) - SCOPUS
12. Review of Ensemble Learning Method in Hyper-Spectral Image Classification for Agricultural Domain, Adalya Journal, Volume 9, Issue 3, Page No: 1076-1091, ISSN NO: 1301-2746 (2020)- WoS
13. Green Supply Chain Management Practices in Indian Aluminium Industries, Adalya Journal, Volume 9, Issue 3, Page No: 1076-1091, ISSN NO: 1301-2746 (2020)- WoS
14. Detection and Classification of Breast Cancer Using FCM based segmentation Algorithms and LLRBFNN Machine LEARNING Model, Journal of Xidian University, VOLUME 14, ISSUE 4, Page No-2810-2826, ISSN NO: 1001-2400 (2020) –SCOPUS
15. Enhancement and Segmentation of Brain Tumor from MR Image Using Modified Water Cycle Algorithm and Relevance Vector Machine, Adalya Journal- Volume 9, Issue 3, Page No-1212-1223 (2020) –WoS
16. A Hybrid Model of Artificial Neural Network and Particle Swarm Optimization for Forecasting of Stock Price of Tata Motors, Indian Journal of Natural Sciences, Volume 10, Issue 59, Page No 18299-18305, ISSN NO: 0976 – 0997 (2020)- WoS
17. Application of soft computing tools in metal forming, Adalya Journal, Volume 9, Issue 3, Page No: 200-208, ISSN NO: 1301-2746 (2020)- WoS
18. Mango Leaf Disease Identification and Classification using Modified FRFCM algorithm and APSO based LLWNN Machine Learning Approach, Indian Journal of Natural Sciences, Volume 10, Issue 59, Page No 18442-18452, ISSN NO: 0976 – 0997 (2020) – WoS
19. Detection and Classification of Breast Cancer Using FCM based segmentation Algorithms and LLRBFNN Machine LEARNING Model, Journal of Xidian University, VOLUME 14, ISSUE 4, Page No-2810-2826, ISSN NO: 1001-2400 (2020) –SCOPUS
20. Breast Cancer Detection and Classification Using a novel Fast and Robust FCM Segmentation and MWCA based LLRBFNN Machine Learning Model, International Journal of Advanced Science and Technology, Vol. 30, ISSN NO:2005-4238 -SCOPUS
21. Emerging Threats during Anthropocene as Urban Flooding of Bhubaneswar City, India, Water and Energy International, Vol. 63/RNI, Issue 1, ISSN: 0974-4711 SCOPUS
22. Strategies for Tool Path Optimization in Incremental Sheet Metal Forming, GEDRAG & ORGANISATIE , Volume 33, Issue 2, April 2020, Page No: 324-830, ISSN:0921-5077 - WoS
23. Deep Learning Based Business Application for Stock Value Prediction, Test Engineering and Management, Vol. 84, ISSN NO: 0193-4120 –SCOPUS
I have presented the following papers at International Conference:
1. Daily stock market forecasting using kernel principal component analysis, support vector regression, and teaching learning based optimization
3rd International Conference on "MANAGEMENT, SCIENCES, ENGINEERING & APPLICATIONS"(ICMSEA-2018)
2. A hybrid model for forecasting of stock value of Tata steel using orthogonal forward selection, support vector regression and teaching learning based optimization
3rd International Conference on "MANAGEMENT, SCIENCES, ENGINEERING & APPLICATIONS"(ICMSEA-2018)
3. A Hybrid Forecasting Model for Prediction of Stock Index of Tata Consultancy Service using PCA, SVR and TLBO
4th International Conference on "MANAGEMENT, SCIENCES, ENGINEERING & APPLICATIONS"(ICMSEA-2019)
4. Financial time series forecasting of stock market using support vector machine and evolutionary optimization techniques
4th International Conference on "MANAGEMENT, SCIENCES, ENGINEERING & APPLICATIONS"(ICMSEA-2019)
5. A hybrid SVM-PSO forecasting model incorporating feature extraction technique to predict stock price of Tata Communications. International Conference on Advances in Mathematics and Computing (ICAMC-2020)
Recent Publications (International Journals)
| Sl. No. | Title | Issuer |
|---|---|---|
| 1 | Best Faculty Award-2019 | Indian Youth Association in IYA Star Awards-2019 |
| 2 | Distinguished Academician Award-2020 | Youth Association for Rural Reconstruction in YARR Excellence Awards-2020 |
Academic Honors & Awards
Hybrid forecasting model for stock value prediction using soft computing technique
International Journal of Pure and Applied Mathematics is a Scopus Indexed Journal
In this paper I have used ANN and PSO
A hybrid forecasting model for prediction of stock value of Tata steel using support vector regression and particle swarm optimization
International Journal of Pure and Applied Mathematics is a Scopus Indexed Journal
In this paper i have used SVR and PSO
Daily stock market forecasting using kernel principal component analysis, support vector regression, and teaching learning based optimization
A hybrid model for forecasting of stock value of Tata steel using orthogonal forward selection, support vector regression and teaching learning based optimization
Prediction of Stock Index of Tata Steel using Hybrid Machine Learning Based Optimization Techniques
Pre-monsoon cyclogenisis over Bay of Bengal
A hybrid forecasting model for prediction of stock index of Tata Motors using principal component analysis, support vector regression and particle swarm optimization
Review of Ensemble Learning Method in Hyper-Spectral Image Classification for Agricultural Domain
A Hybrid Model of Artificial Neural Network and Particle Swarm Optimization for Forecasting of Stock Price of Tata Motors
An Autodesk Modeling of Urbanization by Vertical Multi-storied Structures over Incompetent Soils
Optimized Structural Performance of Paver Blocks of Bajri Concrete: NRM Partly Substituting Cement
GIS And Auto Desk Modeling For Satellite Cities around Bhubaneswar
From Squatter Slums to Modelled Dwellings in Anthropocene: Bhubaneswar, India
The Effects of Plastic Bags and Bottles Waste Materials Usage as Partial Replacement of Sand on the Strength & Physical Properties of Road Side Pedestrian Walkway Paving
Rainfall variability under climatic anomalies using SVM, PSO hybrid model of Bhubaneswar Smart City; India
Anthropocene Water-Body Changes in Coastal Towns, Puri, Odisha
Deep Learning based Business Application Model for Stock Forecasting
Riverbank Old Cities Housing-crisis Solution by Removal of Shoals: the Mahanadi near Cuttack: India
The Drowning City and Climbing Vulnerability of Capital City, Odisha, India
Contemporary Drowning Cashew Trade of India
Effect of various Parameters on Stock Price of Axis Bank using Machine Learning
Impact of various parameters on stock price of State Bank of India using Deep Learning Neural Network Model
Analysis and Prediction of Upsurge in Cyclogenesis over Arabian Sea Fabric
Effect of Different Parameters on Production of Sorghum Using Machine Learning
Effect of Different Parameters on Production of Rice Using Machine Learning
Paradigm Shift on Environmental Sustainability by Replacing GGBS in RMC: Industrial Waste Utilization
3-Arms Stack Type Traffic Interchange: Solution to Traffic Congestion: Twin City, Odisha, India
Thermally Compatible Cinder Blended LWC; Shuffle to Environmental Sustainability of Steel Plant Areas: India
Lean Labour in AEC Industry: From Theory to Implementation
Emerging threats during anthropocene as urban Flooding of Bhubaneswar city, india
COVID -19, the Global Pandemic: reviewed under India’s Prospective
Bauxite Waste as cement Substitute after Normalisation: Sustaining environment
Part substitute of river sand by ferrocrome slag in cement concrete: Industrial waste disposal
Currency exchange rate prediction using machine learning techniques
Effect Of Stock Index Parameters On Forecasting The High Stock Value Of Visa Steel Using Deep Learning Neural Network Model
Consequence of Different Parameters on the High Stock Index of Allahabad Bank using Deep Learning Techniques
Basic Concepts on Posbist Reliability Theory
The Anthropocene Dialogues on Climate Change to Human Health of Homosapiens in India
Toughness Factors Reflections ONM-40 CC by Part Ousting Cement by SCBA & Adding Siyali fibre
Breast Cancer Detection and Classification Using a Novel Fast and Robust FCM Segmentation and MWCA based LLRBFNN Machine Learning Model
Mango Leaf Disease Identification and Classification Using Wavelet Transform Segmentation and Wavelet Neural Network Model
Common Disease Detection Based on Symptoms Using Machine Learning with GUI
Forecasting of Rainfall using Technological Machine Learning Models. Bioscience Biotechnology Research Communications
Prediction of Solar Radiation using Machine Learning Technique
Kepler Exoplanet Search Results using Machine Learning Classification Model
Forecasting of stock price of Hindustan Bio Science Ltd using hybrid model of PCA, SVR and PSO
Effect of Different Parameters on Prediction High Stock Price of ICICI Bank using Machine Learning Techniques
Effect of Different Parameters on Prediction Stock Price of Punjab National Bank using Machine Learning Techniques
Effect of Stock Index Parameters on Forecasting the Stock Price of Kotak Mahindra Bank using Deep Learning Neural Network Model
Impact of Stock Index Parameters on Forecasting the High Stock Price of JSW Steel using Deep Learning Neural Network Model
Effect of Different Parameters on Prediction Stock Index of Steel Authority of India Limited (SAIL) using Machine Learning Techniques
Impact of Different Parameters on Prediction Stock Price of Bank of Baroda using Machine Learning Techniques
Impact of Stock Index Parameters on Prediction of Stock Index of Yes Bank using Deep Learning Neural Network Model
Impact of Different Parameters on Forecasting Stock Price of Tata Steel using Machine Learning Techniques
Impact of Stock Index Parameters on Prediction of Stock Index of HDFC Bank using Deep Learning Neural Network Model
Time Series Forecasting of Stock Market using Hybrid Model of ANN and PSO
A hybrid model of SVR and PSO for the prediction of stock price of Reliance Industries Ltd
Effect of Different Parameters on Stock Price of Bank of India using Deep Learning Neural Network Model
Impact of Stock Index Parameters on Forecasting the High Stock Price of Andhra Bank using Deep Learning Neural Network Model
Effect of Different Parameters on Prediction Stock Index of Bank of Maharashtra using Machine Learning Techniques
Breast Cancer Classification from Mammogram Images Using Extreme Learning Machine-Based DenseNet121 Model
Machine Learning Methods for Detecting Radiation-Induced Tissue Inflammation in Patients with Lung Cancer
Implementation of an Internet of Things and Machine learning Based Smart Medicine Assistive System for Patients with Memory Impairment
Intelligent system for satellite communication from mobile device to public land mobile networks using IOT & methods thereof
The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in-and-of-themselves may also be inventions.