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01

Latest notes

November 28, 2024

Journals

 

1.     

✅ Your Citations in APA 7 Format

1.

Shankarlingam, G., & Reddy, K. T. (2023). Predicting a small-cap company stock price using Python with best accuracy rate: How data science works for predictions and accuracy rate. Indian Journal of Science and Technology, 16(48), 4620–4623. https://doi.org/10.17485/IJST/v16i48.2793

2.

Kandadi, T., & Shankarlingam, G. (2024, October 26). Analysis report of traders losing money in trading platforms: A SEBI report. SSRN. https://doi.org/10.2139/ssrn.5000105

3.

Kandadi, T., & Shankarlingam, G. (2025, January 1). Drawbacks of LSTM algorithm: A case study. SSRN. https://doi.org/10.2139/ssrn.5080605

4.

Kandadi, T. (2025, April 7). Implementation of Dichotomiser 3 algorithm with decision tree for making decisions in machine learning. SSRN. https://doi.org/10.2139/ssrn.5207811

5.

Kandadi, T. R. (2025). A framework for predicting startup success growth with multiple algorithms. TechRxiv. https://doi.org/10.36227/techrxiv.175751434.42657764/v1

6.

Kandadi, T. (2025, April 30). Drawbacks of Random Forest algorithm to examine extensive datasets. SSRN. https://doi.org/10.2139/ssrn.5236759

7.

Kandadi, T. R. (2025, October 21). Explainable deep learning for automated pneumonia detection from chest X-ray images using MobileNetV2 and Grad-CAM CNN. TechRxiv. https://doi.org/10.36227/techrxiv.176108165.56312001/v1

8.

Kandadi, T. (2025, September 13). Qubit state visualizer in quantum computing: Bloch sphere & probabilities. SSRN. https://doi.org/10.2139/ssrn.5574098

9.

Kandadi, T. (2025, January 21). 99 reasons to make losses in equity and F&O: 1% achievement and 99% setbacks (A case analysis). SSRN. https://doi.org/10.2139/ssrn.5108531

10.

Kandadi, T. (2025, September 22). Real-time flood prediction using machine learning and environmental data with Random Forest algorithm. SSRN. https://doi.org/10.2139/ssrn.5574038

11.

Kandadi, T. (2025, October 18). AI-powered personalized nutrition recommendation system using ensemble machine learning models. SSRN. https://doi.org/10.2139/ssrn.5646710

12.

Kandadi, T. (2025, September 19). An interactive sales analytics dashboard using Streamlit: A lightweight alternative to traditional BI tools. SSRN. https://doi.org/10.2139/ssrn.5509178

13.

Kandadi, T. R. (2025, November 24). Development of a machine learning model for automatic detection of crop diseases: A case study. Authorea. https://doi.org/10.22541/au.176402482.24299791/v1

14.

Kandadi, T. R. (2025, December 3). A study on brain tumor technology using machine learning with fewer images on training with high accuracy. Authorea. https://doi.org/10.22541/au.176478088.86005575/v1

15.

Kandadi Thirupathi. MULTI-SCALE CNN-BASED EARLY DETECTION OF LUNG NODULES FROM LOW-DOSE CT SCANS. ScienceOpen Preprints. 2025. DOI: 10.14293/PR2199.002511.v1

16.

Reddy, Thirupathi. (2025). A Survey of Large Language Models: Architectures, Training, and Applications. 10.13140/RG.2.2.27853.09444. 

17.

Reddy, Thirupathi & Srujan, V. (2025). A Comparative Study of Time-Series Forecasting Models: ARIMA, LSTM, and Transformers. 10.13140/RG.2.2.30898.06084. 


18. K Thirupathi Reddy, Srujan Vannala, K Vishnuvardhan. A Real time Drone Detection System for Airspace Security in India using YOLOv8 and Deep Learning. J. Contemp. Politics 2026;5(1):5-13. https://doi.org/10.53989/jcp.v5i1.25.112





1. SIJSS – UGCCARE 1   ISSN: 0972-8945(print), ISSN: 3048-6165(Online)

 https://journal.sijss.com/index.php/home/about

2.   

2. IJTE – UGCCARE 1  ISSN: 0971-3034

https://isteonline.org/downloadables/journals/Qtr_issue_Oct-Dec_2023_issue_for_web.pdf

website link: https://isteonline.org/iste-journal-vol-46


CITATION

Predicting Stock Price using Python with Best Accuracy Rate: How the Data Science 91 and Machine Learning Working for Predictions and Accuracy Rate Gourishetty Shankar Lingam, K. Thirupathi Reddy, vol: 46, issue 4, page no: 91-98, https://isteonline.in/Datafiles/cms/Qtr_issue_Oct-Dec_2023_issue_for_web.pdf

LINK : https://isteonline.in/Datafiles/cms/Qtr_issue_Oct-Dec_2023_issue_for_web.pdf

3.      

3. IJST – WEB OF SCIENCE   P-ISSN: 0974-6846, E-ISSN: 0974-5645

 https://indjst.org/articles/predicting-a-small-cap-company-stock-price-using-python-with-best-accuracy-rate-how-the-data-science-working-for-predictions-and-accuracy-rate

        CITATION

Shankarlingam G, Reddy KT. (2023) Predicting a Small Cap Company Stock Price using Python with Best Accuracy Rate: How the Data Science Working for Predictions and Accuracy Rate. Indian Journal of Science and Technology. 16(48): 4620- 4623. https://doi.org/10.17485/IJST/v16i48.2793 


4. IJONS - Web of Science ISSN: 0976 – 0997



CITATION


Shankarlingam G, Reddy KT. (2024) Analyze and Prediction of Stock Price using LSTM Algorithm of Machine Learning. vol-15, issue-87,page no: 975-981 

 

4. SSRN - SCOPUS  ISSN: 1556-5068

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5000105

CITATION

Kandadi, Thirupathi and Shankarlingam, G., Analysis Report of Traders Losing Money in Trading Platforms: A Sebi Report (October 26, 2024). ssrn, Available at SSRN: https://ssrn.com/abstract=5000105 or http://dx.doi.org/10.2139/ssrn.5000105 


5. SSRN - SCOPUS  ISSN: 1556-5068

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5080605

CITATION

Kandadi, Thirupathi and Shankarlingam, G., DRAWBACKS OF LSTM ALGORITHM: A CASE STUDY (January 01, 2025). Available at SSRN: https://ssrn.com/abstract=5080605 or http://dx.doi.org/10.2139/ssrn.5080605


6. SSRN - SCOPUS  ISSN: 1556-5068

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5108531

CITATION

Kandadi, Thirupathi,

99 REASONS TO MAKE LOSSES IN EQUITY AND F & O : 1% ACHIEVEMENT AND 99% SETBACKS (A CASE ANALYSIS)

(January 21, 2025). Available at SSRN: https://ssrn.com/abstract=5108531 or http://dx.doi.org/10.2139/ssrn.5108531


7. SSRN- ELSEVIER ISSN: 1556-5068

CITATION

Kandadi, Thirupathi, IMPLEMENTATION OF DICHOTOMISER 3 ALGORITHM WITH DECISION TREE FOR MAKING DECISIONS IN MACHINE LEARNING (April 07, 2025). Available at SSRN: https://ssrn.com/abstract=5207811 or http://dx.doi.org/10.2139/ssrn.5207811

16 Pages Posted: 6 May 2025

Date Written: April 07, 2025


8. research square (springer)

thirupathi. A Streamlit-powered System for Simulating and Visualizing Qubit States, 11 September 2025, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-7579530/v1]

published on 11-sep-2025


9. Techarxiv

A FRAMEWORK TO PREDICTING STARTUP SUCCESS GROWTH WITH MULTIPLE ALGORITHMS

Kandadi Thirupathi Reddy. A FRAMEWORK TO PREDICTING STARTUP SUCCESS GROWTH WITH MULTIPLE ALGORITHMS. TechRxiv. September 10, 2025.
DOI: 10.36227/techrxiv.175751434.42657764/v1


10. SSRN

DRAWBACKS OF RANDOM FOREST ALGORITHM TO EXAMINE EXTENSIVE DATASETS

16 Pages Posted: 7 May 2025

Date Written: April 30, 2025

Kandadi, Thirupathi, DRAWBACKS OF RANDOM FOREST ALGORITHM TO EXAMINE EXTENSIVE DATASETS (April 30, 2025). Available at SSRN: https://ssrn.com/abstract=5236759 or http://dx.doi.org/10.2139/ssrn.5236759



Books

https://www.elivabooks.com/en/book/book-7194442344

The Behavioural Study of Stocks and LSTM Algorithm

Pages:35
Published:2025-02-11
ISBN:978-99993-2-354-3
Category:New Release


Chapters

How the Data Science and Machine Learning Revolutionizing the Agriculture  G. Shankarlingam and K. Thirupathi Reddy

https://ndpublisher.in/ndpbookpage.php?book=480

Advances and Concerns in Agricultural & Environmental Information Systems in Society 5.0

ISBN NO:9788196887049

PAGES :315

PAPER TYPE: Paperback



Google Scholar ID

https://scholar.google.com/citations?user=djucQkcAAAAJ&hl=en


Vidhwan ID

https://vidwan.inflibnet.ac.in/profile/579235


 

SCAN this QR code to connect with git hub projects


CITATIONS

Predicting Stock Price using Python with Best Accuracy Rate: How the Data Science 91 and Machine Learning Working for Predictions and Accuracy Rate Gourishetty Shankar Lingam, K. Thirupathi Reddy, vol: 45, issue 4, page no: 91-98, http://www.isteonline.in/Datafiles/cms/Qtr_issue_Oct-Dec_2023_issue_for_web.pdf


Shankarlingam G, Reddy KT. (2023) Predicting a Small Cap Company Stock Price using Python with Best Accuracy Rate: How the Data Science Working for Predictions and Accuracy Rate. Indian Journal of Science and Technology. 16(48): 4620- 4623. https://doi.org/10.17485/IJST/v16i48.2793 


Kandadi, Thirupathi and Shankarlingam, G., Analysis Report of Traders Losing Money in Trading Platforms: A Sebi Report (October 26, 2024). ssrn, Available at SSRN: https://ssrn.com/abstract=5000105 or http://dx.doi.org/10.2139/ssrn.5000105 


Kandadi, Thirupathi and Shankarlingam, G., DRAWBACKS OF LSTM ALGORITHM: A CASE STUDY (January 01, 2025). Available at SSRN: https://ssrn.com/abstract=5080605 or http://dx.doi.org/10.2139/ssrn.5080605


Thesis Details


To draw diagrams




Code


Objective 1, 2 and 3

Indian Startup Analysis



Stock Price prediction






SCOPUS






Objectives 1, 2 and 3


OBJECTIVE 1

•       git clone https://github.com/codingacharya/revenuegrowthprediction.git

•       cd revenuegrowthprediction

•       pip install streamlit pandas numpy plotly scikit-learn

•       streamlit run ob1.py

 

 OBJECTIVE 2

•       git clone https://github.com/codingacharya/startupsurvivalmodelwithflask.git

•       cd startupsurvivalmodelwithflask

•       pip install -r requirements.txt

                                                                or

•       pip install flask joblib xgboost scikit-learn pandas

•       python model_trainer.py

•       python app.py

 

 OBJECTIVE 3

•       Open command prompt and enter these commands in CMD

•       step 1: Clone the Repository

•       git clone https://github.com/codingacharya/Stock-Price-Analysis.git

 

•       step 2: Navigate to the project directory

•       cd stock-price-analysis

 

•       step 3: Install the required python packages using PIP

•       pip install -r requirements.txt

 

•       step 4: Run the streamlit app

•       streamlit run app.py

 





Citations

Shankarlingam G, Reddy KT. (2023) Predicting a Small Cap Company Stock Price using Python with Best Accuracy Rate: How the Data Science Working for Predictions and Accuracy Rate. Indian Journal of Science and Technology. 16(48): 4620- 4623. https://doi.org/10.17485/IJST/v16i48.2793 



Kandadi, Thirupathi and Shankarlingam, G., Analysis Report of Traders Losing Money in Trading Platforms: A Sebi Report (October 26, 2024). ssrn, Available at SSRN: https://ssrn.com/abstract=5000105 or http://dx.doi.org/10.2139/ssrn.5000105 

 

Kandadi, Thirupathi and Shankarlingam, G., DRAWBACKS OF LSTM ALGORITHM: A CASE STUDY (January 01, 2025). Available at SSRN: https://ssrn.com/abstract=5080605 or http://dx.doi.org/10.2139/ssrn.5080605


Kandadi, Thirupathi, IMPLEMENTATION OF DICHOTOMISER 3 ALGORITHM WITH DECISION TREE FOR MAKING DECISIONS IN MACHINE LEARNING (April 07, 2025). Available at SSRN: https://ssrn.com/abstract=5207811 or http://dx.doi.org/10.2139/ssrn.5207811


Kandadi Thirupathi Reddy. A FRAMEWORK TO PREDICTING STARTUP SUCCESS GROWTH WITH MULTIPLE ALGORITHMS. TechRxiv. September 10, 2025. DOI: 10.36227/techrxiv.175751434.42657764/v1


Kandadi, Thirupathi, DRAWBACKS OF RANDOM FOREST ALGORITHM TO EXAMINE EXTENSIVE DATASETS (April 30, 2025). Available at SSRN: https://ssrn.com/abstract=5236759 or http://dx.doi.org/10.2139/ssrn.5236759


Kandadi Thirupathi Reddy. EXPLAINABLE DEEP LEARNING FOR AUTOMATED PNEUMONIA DETECTION FROM CHEST X-RAY IMAGES USING MOBILENETV2 AND GRAD-CAM CNN. TechRxiv. October 21, 2025.
DOI: 10.36227/techrxiv.176108165.56312001/v1


Kandadi, Thirupathi, QUBIT STATE VISUALIZER IN QUANTUM COMPUTING: BLOCH SPHERE & PROBABILITIES (September 13, 2025). Available at SSRN: https://ssrn.com/abstract=5574098 or http://dx.doi.org/10.2139/ssrn.5574098


Kandadi, Thirupathi, 99 REASONS TO MAKE LOSSES IN EQUITY AND F & O : 1% ACHIEVEMENT AND 99% SETBACKS (A CASE ANALYSIS) (January 21, 2025). Available at SSRN: https://ssrn.com/abstract=5108531 or http://dx.doi.org/10.2139/ssrn.5108531


Kandadi, Thirupathi, REAL-TIME FLOOD PREDICTION USING MACHINE LEARNING AND ENVIRONMENTAL DATA WITH RANDOM FOREST ALGORITHM (September 22, 2025). Available at SSRN: https://ssrn.com/abstract=5574038 or http://dx.doi.org/10.2139/ssrn.5574038


Kandadi, Thirupathi, AI-POWERED PERSONALIZED NUTRITION RECOMMENDATION SYSTEM USING ENSEMBLE MACHINE LEARNING MODELS (October 18, 2025). Available at SSRN: https://ssrn.com/abstract=5646710 or http://dx.doi.org/10.2139/ssrn.5646710


Kandadi, Thirupathi, An Interactive Sales Analytics Dashboard Using Streamlit: A Lightweight Alternative to Traditional BI Tools (September 19, 2025). Available at SSRN: https://ssrn.com/abstract=5509178 or http://dx.doi.org/10.2139/ssrn.5509178


Kandadi Thirupathi Reddy. DEVELOPMENT OF A MACHINE LEARNING MODEL FOR AUTOMATIC DETECTION OF CROP DISEASES – (Case Study). Authorea. November 24, 2025.
DOI: 10.22541/au.176402482.24299791/v1


Kandadi Thirupathi Reddy. A STUDY ON BRAIN TUMOR TECHNOLOGY USING MACHINE LEARNING WITH FEWER IMAGES ON TRAINING WITH HIGH ACCURACY. Authorea. December 03, 2025.
DOI: 10.22541/au.176478088.86005575/v1




Web of Science

https://mjl.clarivate.com/journal-profile


https://www.jswep.in/index.php/jswep/AuthorGuidelines


https://www.jcdr.net/




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