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ORCIDSocProS 2019: Liverpool, UK
- Atulya K. Nagar, Kusum Deep, Jagdish Chand Bansal, Kedar Nath Das:
Soft Computing for Problem Solving 2019 - Proceedings of SocProS 2019, Volume 2, Liverpool Hope University, UK, 2-4 September 2019. Advances in Intelligent Systems and Computing 1139, Springer 2020, ISBN 978-981-15-3286-3 - Apoorva Sharma
, Nirmala Sharma, Harish Sharma, Jagdish Chand Bansal:
Exponential Adaptive Strategy in Spider Monkey Optimization Algorithm. 1-15 - Praveen Kumar Shukla:
Development of Fuzzy Knowledge-Based System for Water Quality Assessment in River Ganga. 17-26 - Uduak Augustine Umoh, Udoinyang G. Inyang, Emmanuel E. Nyoho:
A Hybrid Framework for Fire Outbreak Detection Based on Interval Type-2 Fuzzy Logic and Flower Pollination Algorithm. 27-45 - Rawan Gedeon, Atulya K. Nagar, Raouf N. Gorgui-Naguib:
Using Convolutional Neural Networks to Predict Colon Cancer Patients Survival. 47-55 - P. S. Azeezunnisha, S. Hemalatha, Sastha Sriram, Atulya K. Nagar:
An Array P System Based on a Variant of Pure 2D Context-Free Grammars. 57-65 - Praveen Kumar, Priyanka, Ankush Pathania, Shubham Agarwal, Naresh Mali, Ravinder Singh, Pratik Chaturvedi, Kala Venkata Uday, Varun Dutt:
Predictions of Weekly Slope Movements Using Moving-Average and Neural Network Methods: A Case Study in Chamoli, India. 67-81 - Dewi Tjia, Ritu Gupta, Muhammad Alam:
Two-Stage History Matching for Hydrology Models via Machine Learning. 83-95 - Saroj Kumar Biswas, Rohit Upadhya, Nipan Das, Dolly Das, Manomita Chakraborty, Biswajit Purkayastha:
An Intelligent System for Diagnosis of Diabetic Retinopathy. 97-110 - Casey Josman, Ritu Gupta, Sam Robertson:
Markov Chain Models for the Near Real-Time Forecasting of Australian Football League Match Outcomes. 111-125 - Suchitra Agrawal, Aruna Tiwari, Ishan Goel:
Genetically Optimized Deep Neural Learning for Breast Cancer Prediction. 127-139 - Assif Assad, Kusum Deep, Neil Buckley, Atulya K. Nagar:
Optimization of Lycopene Extraction from Tomato Processing Waste Skin Using Harmony Search Algorithm. 141-154 - Felis Dwiyasa, Meng-Hiot Lim, Ren-Xiang Foo, Shi-Wei Jason Teo:
Meme-Based Computational Optimization Framework. 155-165 - Felis Dwiyasa, Meng-Hiot Lim, Pyo Kang, Ren-Xiang Foo, Shi-Wei Jason Teo:
Heterogeneous Multi-robot Mission Planning for Coordinated Tasks Execution. 167-173 - Emanuele Lindo Secco, Rashid Abdulrahman, Ian Felmeri, Atulya K. Nagar:
Development of Cost-Effective Endurance Test Rig with Integrated Algorithm for Safety. 175-190 - Emanuele Lindo Secco, Philippe Caddet, Atulya K. Nagar:
Development of an Algorithm for the EMG Control of Prosthetic Hand. 191-198 - Lewis Wong, Declan O'Connor, Neil Buckley, Atulya K. Nagar:
Improving Data Quality in the Cargo Industry with Modern Recurrent Neural Network Architecture. 199-209 - David C. Reid, Emanuele Lindo Secco:
Temporal Convolution in Spiking Neural Networks: A Bio-mimetic Paradigm. 211-222
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