Items where Subject is "Applied Mathematics"

Group by: VELS Creators | Item Type
Jump to: A | B | D | G | J | K | P | R | S | V
Number of items at this level: 17.

A

Arunachalam, A S and Sree, S. Vaishnavi and Dharmarajan, K (2019) Malware Detection and Classification using Random Forest and Adaboost Algorithms. International Journal of Innovative Technology and Exploring Engineering, 8 (10). pp. 2863-2868. ISSN 22783075

B

BASAVANNA, M. and SHIVAKUMARA, P. and SRIVATSA, S. K. and KUMAR, G. HEMANTHA (2012) MULTI-ORIENTED TEXT DETECTION IN SCENE IMAGES. International Journal of Pattern Recognition and Artificial Intelligence, 26 (07). p. 1255010. ISSN 0218-0014

D

Dharmarajan, K (2026) USED CAR PRICE PREDICTION SYSTEM USING MACHINE LEARNING REGRESSION TECHNIQUES. International Journal of Engineering Technology Research & Management (IJETRM). pp. 391-324. ISSN 2456-9348

G

G, Baby Saral and R, Priya (2019) Screen Time Addiction and Psychological Metric Analysis among Teens Using Machine Learning Techniques. Journal of Advanced Research in Dynamical and Control Systems, 11 (10-SPE). pp. 119-124. ISSN 1943023X

Gnanasankaran, N and Rakesh, R and Muthukumaran, S and Sundaravadivazhagan, B and UNSPECIFIED1 and UNSPECIFIED1 (2025) 533 Smart Sensors for Healthcare: Transforming Patient Monitoring and Diagnostics. In: Biomedical Computer Vision. De Gruyter, pp. 53-96.

Gopalakrishnan, T. and Revathy, G (2026) Advanced Artificial Intelligence Techniques in Mechanical Engineering. LAP LAMBERT Academic Publishing, London, United Kingdom.

J

J, Jayashree. and Sreekala, T. (2025) AutoImmune-BiAttnNet: A Novel Hybrid Attention-Enhanced Bi-LSTM Framework for Autoimmune Disease Prediction. In: AutoImmune-BiAttnNet: A Novel Hybrid Attention-Enhanced Bi-LSTM Framework for Autoimmune Disease Prediction.

K

Kalaiselvi, K. and Sara, V J Belina (2017) Privacy preserving in data mining classification and visualization: Empirical study. In: 2017 2nd International Conference on Communication and Electronics Systems (ICCES), Coimbatore.

Kiruthiga, C. and Dharmarajan, K (2023) Machine Learning in Soil Borne Diseases, Soil Data Analysis & Crop Yielding: A Review. In: 2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), Bengaluru, India.

P

P, Rajarajan and Sahaai, Madona B. (2025) Enhancing Robustness of OFDM Systems Using LSTM‐Based Autoencoders. International Journal of Communication Systems, 38 (9). ISSN 1074-5351

R

Ramasamy, G. and Kamalakkannan, S (2025) Enhancement of Containerization-based Cloud Computing Performance using Hybrid Metaheuristic Optimization Algorithm: A Review. In: 2025 International Conference on Electronics and Renewable Systems (ICEARS), Tuticorin, India.

S

SHIBI, MATHAI and Thirunavukkarasu, K S (2024) Detection of CKD Status using Feature Selection Approach based on Random Forest Classifier. Communication on Applied on Non Linear Analysis.

V

Vanathi, Narayanamurthy and Goudhaman, M (2025) AN ADAPTIVE HYBRID CLUSTERING MODEL USING FUZZY GUSTAFSON-KESSEL ALGORITHM WITH CHEETAH CHASE OPTIMIZATION FOR NONLINEAR DATA STRUCTURES. In: IC CAMSTIA, 25.7.2025, st joseph College of Engineering.

Vanathi, Narayanamurthy and Goudhaman, M (2025) A Cognitive Fuzzy-Neural Cheetah Algorithm for Resilient Network Routing Decisions. In: GCCMIEA2025, Dec27-29,2025, Thammasat University, Thailand.

Vanathi, Narayanamurthy and Jasni, J (2025) FUZZY NEURAL-CHEETAH CHASE ALGORITHM: HYBRID FUZZY ARC-BASED PATH OPTIMIZATION USING CHEETAH CHASE ALGORITHM (CCA-FARC). In: IC -CAMSTIA, 25.7.2025, st joseph College of Engineering.

Vanathi, Narayanamurthy and Meena, S (2026) Decision-Making Under Uncertainty for Urban Traffic Interception Using IFS-Based MCDM Techniques. In: ICEICMEA 2026, 14.2.26, SRM Institute of Science and Technology.

Vanathi, Narayanamurthy and SenthilKumar, R (2026) UNSPECIFIED1 IJIRT, 12: 194171. pp. 4163-4168. ISSN ISSN: 2349-6002

This list was generated on Sat Jun 13 17:04:18 2026 IST.