A Three-Phase Analysis of Synergistic Effects During Co-pyrolysis of Algae and Wood for Biochar Yield Using Machine Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Chakrabarti, Subhadeep, Shinde, Saish |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Ensuring Equitable Financial Decisions: Leveraging Counterfactual Fairness and Deep Learning for Bias
by: Shinde, Saish
Published: (2024)
by: Shinde, Saish
Published: (2024)
SCM: Sleep-Consolidated Memory with Algorithmic Forgetting for Large Language Models
by: Shinde, Saish Sachin
Published: (2026)
by: Shinde, Saish Sachin
Published: (2026)
Modeling Behavioral Preferences of Cyber Adversaries Using Inverse Reinforcement Learning
by: Shinde, Aditya, et al.
Published: (2025)
by: Shinde, Aditya, et al.
Published: (2025)
Statistical Limits and Efficient Algorithms for Differentially Private Federated Learning
by: Auddy, Arnab, et al.
Published: (2026)
by: Auddy, Arnab, et al.
Published: (2026)
A Machine Learning Approach for Crop Yield and Disease Prediction Integrating Soil Nutrition and Weather Factors
by: Ahmed, Forkan Uddin, et al.
Published: (2024)
by: Ahmed, Forkan Uddin, et al.
Published: (2024)
GNN-ASE: Graph-Based Anomaly Detection and Severity Estimation in Three-Phase Induction Machines
by: Bentrad, Moutaz Bellah, et al.
Published: (2025)
by: Bentrad, Moutaz Bellah, et al.
Published: (2025)
Machine Learning Models for Soil Parameter Prediction Based on Satellite, Weather, Clay and Yield Data
by: Kammerlander, Calvin, et al.
Published: (2025)
by: Kammerlander, Calvin, et al.
Published: (2025)
Fault Analysis And Predictive Maintenance Of Induction Motor Using Machine Learning
by: Venkatesh, Kavana, et al.
Published: (2024)
by: Venkatesh, Kavana, et al.
Published: (2024)
SPADE: Faster Drug Discovery by Learning from Sparse Data
by: Nandakumar, Rahul, et al.
Published: (2026)
by: Nandakumar, Rahul, et al.
Published: (2026)
Comparative Analysis on Snowmelt-Driven Streamflow Forecasting Using Machine Learning Techniques
by: Thapa, Ukesh, et al.
Published: (2024)
by: Thapa, Ukesh, et al.
Published: (2024)
A Multi-Phase Analysis of Blood Culture Stewardship: Machine Learning Prediction, Expert Recommendation Assessment, and LLM Automation
by: Amrollahi, Fatemeh, et al.
Published: (2025)
by: Amrollahi, Fatemeh, et al.
Published: (2025)
Efficient data selection employing Semantic Similarity-based Graph Structures for model training
by: Petcu, Roxana, et al.
Published: (2024)
by: Petcu, Roxana, et al.
Published: (2024)
Neuro-symbolic Learning Yielding Logical Constraints
by: Li, Zenan, et al.
Published: (2024)
by: Li, Zenan, et al.
Published: (2024)
COPYCOP: Ownership Verification for Graph Neural Networks
by: Nandakumar, Rahul, et al.
Published: (2026)
by: Nandakumar, Rahul, et al.
Published: (2026)
Enhancing Robustness of Federated Learning via Server Learning
by: Mai, Van Sy, et al.
Published: (2026)
by: Mai, Van Sy, et al.
Published: (2026)
Adaptive Memory Crystallization for Autonomous AI Agent Learning in Dynamic Environments
by: Khanda, Rajat, et al.
Published: (2026)
by: Khanda, Rajat, et al.
Published: (2026)
Graph Edit Distance with General Costs Using Neural Set Divergence
by: Jain, Eeshaan, et al.
Published: (2024)
by: Jain, Eeshaan, et al.
Published: (2024)
Three-Phase Transformer
by: Ayyash, Mohammad R. Abu
Published: (2026)
by: Ayyash, Mohammad R. Abu
Published: (2026)
CoMind: Towards Community-Driven Agents for Machine Learning Engineering
by: Li, Sijie, et al.
Published: (2025)
by: Li, Sijie, et al.
Published: (2025)
Intrinsic Explainability of Multimodal Learning for Crop Yield Prediction
by: Najjar, Hiba, et al.
Published: (2025)
by: Najjar, Hiba, et al.
Published: (2025)
Every Bit Counts: A Theoretical Study of Precision-Expressivity Tradeoffs in Quantized Transformers
by: Chakrabarti, Sayak, et al.
Published: (2026)
by: Chakrabarti, Sayak, et al.
Published: (2026)
Predictive Analysis of Tuberculosis Treatment Outcomes Using Machine Learning: A Karnataka TB Data Study at a Scale
by: Chinagudaba, SeshaSai Nath, et al.
Published: (2024)
by: Chinagudaba, SeshaSai Nath, et al.
Published: (2024)
Predicting Diabetes Using Machine Learning: A Comparative Study of Classifiers
by: Hasan, Mahade, et al.
Published: (2025)
by: Hasan, Mahade, et al.
Published: (2025)
Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning
by: Reizinger, Patrik, et al.
Published: (2025)
by: Reizinger, Patrik, et al.
Published: (2025)
Bank Loan Prediction Using Machine Learning Techniques
by: Haque, F M Ahosanul, et al.
Published: (2024)
by: Haque, F M Ahosanul, et al.
Published: (2024)
Diabetes Prediction and Management Using Machine Learning Approaches
by: Alzboon, Mowafaq Salem, et al.
Published: (2025)
by: Alzboon, Mowafaq Salem, et al.
Published: (2025)
DeCoR: Design and Control Co-Optimization for Urban Streets Using Reinforcement Learning
by: Poudel, Bibek, et al.
Published: (2026)
by: Poudel, Bibek, et al.
Published: (2026)
A New Technique for AI Explainability using Feature Association Map
by: Ghosh, Sayantani, et al.
Published: (2026)
by: Ghosh, Sayantani, et al.
Published: (2026)
Poly-attention: a general scheme for higher-order self-attention
by: Chakrabarti, Sayak, et al.
Published: (2026)
by: Chakrabarti, Sayak, et al.
Published: (2026)
Disentangled Double Machine Learning for Accurate Causal Effect Estimation
by: Xiang, Guodu, et al.
Published: (2026)
by: Xiang, Guodu, et al.
Published: (2026)
A Geometric Perspective on Next-Token Prediction in Large Language Models: Three Emerging Phases
by: Lombardo, Gianfranco, et al.
Published: (2026)
by: Lombardo, Gianfranco, et al.
Published: (2026)
A Methodology Establishing Linear Convergence of Adaptive Gradient Methods under PL Inequality
by: Chakrabarti, Kushal, et al.
Published: (2024)
by: Chakrabarti, Kushal, et al.
Published: (2024)
Three Dogmas of Reinforcement Learning
by: Abel, David, et al.
Published: (2024)
by: Abel, David, et al.
Published: (2024)
Embedded Quantum Machine Learning in Embedded Systems: Feasibility, Hybrid Architectures, and Quantum Co-Processors
by: Dey, Somdip, et al.
Published: (2026)
by: Dey, Somdip, et al.
Published: (2026)
MyGO: Memory Yielding Generative Offline-consolidation for Lifelong Learning Systems
by: Ji, Shihao, et al.
Published: (2025)
by: Ji, Shihao, et al.
Published: (2025)
COVID-19 Probability Prediction Using Machine Learning: An Infectious Approach
by: Ilani, Mohsen Asghari, et al.
Published: (2024)
by: Ilani, Mohsen Asghari, et al.
Published: (2024)
Risk Factor Identification In Osteoporosis Using Unsupervised Machine Learning Techniques
by: Calitis, Mikayla
Published: (2024)
by: Calitis, Mikayla
Published: (2024)
Stroke Disease Classification Using Machine Learning with Feature Selection Techniques
by: Hasan, Mahade, et al.
Published: (2025)
by: Hasan, Mahade, et al.
Published: (2025)
Discovery of Spatter Constitutive Models in Additive Manufacturing Using Machine Learning
by: Ajenifujah, Olabode T., et al.
Published: (2025)
by: Ajenifujah, Olabode T., et al.
Published: (2025)
Using Kolmogorov-Smirnov Distance for Measuring Distribution Shift in Machine Learning
by: Tonguz, Ozan K., et al.
Published: (2025)
by: Tonguz, Ozan K., et al.
Published: (2025)
Similar Items
-
Ensuring Equitable Financial Decisions: Leveraging Counterfactual Fairness and Deep Learning for Bias
by: Shinde, Saish
Published: (2024) -
SCM: Sleep-Consolidated Memory with Algorithmic Forgetting for Large Language Models
by: Shinde, Saish Sachin
Published: (2026) -
Modeling Behavioral Preferences of Cyber Adversaries Using Inverse Reinforcement Learning
by: Shinde, Aditya, et al.
Published: (2025) -
Statistical Limits and Efficient Algorithms for Differentially Private Federated Learning
by: Auddy, Arnab, et al.
Published: (2026) -
A Machine Learning Approach for Crop Yield and Disease Prediction Integrating Soil Nutrition and Weather Factors
by: Ahmed, Forkan Uddin, et al.
Published: (2024)