DeePaTB: A Deep Learning-Powered Semi-Empirical Quantum Mechanical Method
Fuente:
Zenodo
Enregistré dans:
| Auteur principal: | Xiao, Jin |
|---|---|
| Format: | Recurso digital |
| Publié: |
Zenodo
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Chapter Deep Multiagent Reinforcement Learning Methods Addressing the Scalability Challenge
par: Vouros, George, et autres
Publié: (2024)
par: Vouros, George, et autres
Publié: (2024)
Adaptive Fraud Detection in Online Transactions Using Machine Learning Techniques
par: VELIDI, SRIRAM CHOWDARY
Publié: (2025)
par: VELIDI, SRIRAM CHOWDARY
Publié: (2025)
Reinforced-lib: Rapid prototyping of reinforcement learning solutions
par: Szott, Szymon, et autres
Publié: (2024)
par: Szott, Szymon, et autres
Publié: (2024)
Self-Calibrating Divergence Detection for Adaptive Best-of-N Reasoning A Mechanism Layered on Exponential Smoothing for Compute-Efficient Chain Selection
par: Cantrell, Cole
Publié: (2026)
par: Cantrell, Cole
Publié: (2026)
Chapter Risk Assessment and Automated Anomaly Detection Using a Deep Learning Architecture
par: Thomopoulos, Stelios C. A.
Publié: (2024)
par: Thomopoulos, Stelios C. A.
Publié: (2024)
Chapter Risk Assessment and Automated Anomaly Detection Using a Deep Learning Architecture
par: Thomopoulos, Stelios C. A.
Publié: (2024)
par: Thomopoulos, Stelios C. A.
Publié: (2024)
A hybrid framework for wild animal classification using fine-tuned DenseNet121 and machine learning classifiers
par: Vijayendrakumar, Dhanushree, et autres
Publié: (2025)
par: Vijayendrakumar, Dhanushree, et autres
Publié: (2025)
Coalescence–Entropy Boundary Detection on the Typed Null Substrate and Pattern-Scale Terrain Physics, Inherent Dynamics, and Family-Aware Void Handling Under Cognitive-Physics Framing
par: ASHER, KIMBERLEY LAVERNE
Publié: (2026)
par: ASHER, KIMBERLEY LAVERNE
Publié: (2026)
IoT Device Security Challenges and Solutions
par: Safa Mohamed, et autres
Publié: (2026)
par: Safa Mohamed, et autres
Publié: (2026)
Scalability Challenges of Distance-Based Learning over Encrypted Big Data
par: Elena, Vancea, et autres
Publié: (2026)
par: Elena, Vancea, et autres
Publié: (2026)
Application of Unsupervised Learning in the Early Detection of Late Blight in Potato Crops Using Image Processing
par: Juana-Valentina García-Ariza
Publié: (2022)
par: Juana-Valentina García-Ariza
Publié: (2022)
Rose: Range-Of-Slice Equilibration optimizer
par: Kieren, Matthew Everet
Publié: (2026)
par: Kieren, Matthew Everet
Publié: (2026)
Deep Learning-Based Analysis of Precipitation Blocking at the Northwestern Iran Border with Comparative Insights from Utah, USA
par: Sohrabi, Mohammad
Publié: (2025)
par: Sohrabi, Mohammad
Publié: (2025)
DP-RTFL: Differentially Private Resilient Temporal Federated Learning for Trustworthy AI in Regulated Industries
par: Talluri, Abhijit
Publié: (2025)
par: Talluri, Abhijit
Publié: (2025)
Journal of Digital Learning and Education
Publié: (2023)
Publié: (2023)
Scalable and Efficient Distributed Training of Deep Learning Models via Hybrid Parallelism
par: Yuki Tanaka
Publié: (2026)
par: Yuki Tanaka
Publié: (2026)
Advancements in brain tumor classification: a survey of transfer learning techniques
par: Snehal, Jadhav, et autres
Publié: (2025)
par: Snehal, Jadhav, et autres
Publié: (2025)
A Controlled Evaluation of Transfer Learning and Federated Meta-Learning for Privacy-Preserving Photonic Inverse Design
par: Ray, Rahul D
Publié: (2026)
par: Ray, Rahul D
Publié: (2026)
Evaluating Resilience of Deep Learning Models
par: Elvis Rojas
Publié: (2020)
par: Elvis Rojas
Publié: (2020)
SUPERVISED LEARNING-BASED DETECTION OF ASTHMA-AIR POLLUTION ASSOCIATIONS IN URBAN ENVIRONMENTS
par: JOAE
Publié: (2024)
par: JOAE
Publié: (2024)
Dollar street 10 - 64x64x3
par: van der burg, Sven
Publié: (2024)
par: van der burg, Sven
Publié: (2024)
Competition ML vs. Production ML: A Systematic Gap Analysis
par: Emelianov, Ilya
Publié: (2026)
par: Emelianov, Ilya
Publié: (2026)
Heuristic Strategies of Self-Regulated Learning in University Students
par: Dulio OSEDA GAGO
Publié: (2020)
par: Dulio OSEDA GAGO
Publié: (2020)
A Review on the Integration of Machine Learning in Cloud Computing Resource Management
par: Thafzy V. M.
Publié: (2025)
par: Thafzy V. M.
Publié: (2025)
Abrief on artificial intelligence in medicine
par: Nabila, Ounasser, et autres
Publié: (2024)
par: Nabila, Ounasser, et autres
Publié: (2024)
Experiencing the Smart Learning Journey, A Pedagogical Inquiry
par: Lister, Pen
Publié: (2021)
par: Lister, Pen
Publié: (2021)
An Exploration on Evolution in the Teaching and Learning System
par: V. Bhuvaneswari
Publié: (2021)
par: V. Bhuvaneswari
Publié: (2021)
An Exploration on Evolution in the Teaching and Learning System
par: V. Bhuvaneswari
Publié: (2021)
par: V. Bhuvaneswari
Publié: (2021)
Distributed estimation of the curve number (CN) in continental Ecuador using machine learning and official geo-pedological data
par: Maldonado Chávez, Carlos Andrés, et autres
Publié: (2026)
par: Maldonado Chávez, Carlos Andrés, et autres
Publié: (2026)
Back to the rough ground!: Retrieving concepts in survey research and its potential uses
par: Johnson, Jon, et autres
Publié: (2025)
par: Johnson, Jon, et autres
Publié: (2025)
Identifying and predicting the Lagrangian coherence of eddies in the Gulf of Mexico using machine learning and satellite observations
par: Hiron, Luna, et autres
Publié: (2025)
par: Hiron, Luna, et autres
Publié: (2025)
Blockchain Fault Transaction Detection using ML & Solidity
par: Mogili, Poojitha
Publié: (2025)
par: Mogili, Poojitha
Publié: (2025)
Brief Review of Educational Applications Using Data Mining and Machine Learning
par: Argelia Berenice Urbina Nájera
Publié: (2017)
par: Argelia Berenice Urbina Nájera
Publié: (2017)
Semi-Supervised Classification of Non-Functional Requirements: An Empirical Analysis
par: Agustin Casamayor
Publié: (2009)
par: Agustin Casamayor
Publié: (2009)
LIES: Learning Immersive Experiences Significative
par: Patricia Madriñán Rodríguez
Publié: (2018)
par: Patricia Madriñán Rodríguez
Publié: (2018)
Imaged based identification of colombian timbers using the xylotron: A proof of concept international partnership
par: Rafael Arévalo
Publié: (2021)
par: Rafael Arévalo
Publié: (2021)
Literature review on forecasting green hydrogen production using machine learning and deep learning
par: Mohamed, Yassine Rhafes, et autres
Publié: (2025)
par: Mohamed, Yassine Rhafes, et autres
Publié: (2025)
Coverage for Character Based Neural Machine Translation
par: M. Bashir Kazimi
Publié: (2017)
par: M. Bashir Kazimi
Publié: (2017)
Optimización de la interpretación de ecocardiogramas con la utilización de Machine Learning en el estudio WASE
par: Juan I Cotella
Publié: (2024)
par: Juan I Cotella
Publié: (2024)
Supervised Machine Learning in Cybersecurity
par: Loza, Boris
Publié: (2025)
par: Loza, Boris
Publié: (2025)
Documents similaires
-
Chapter Deep Multiagent Reinforcement Learning Methods Addressing the Scalability Challenge
par: Vouros, George, et autres
Publié: (2024) -
Adaptive Fraud Detection in Online Transactions Using Machine Learning Techniques
par: VELIDI, SRIRAM CHOWDARY
Publié: (2025) -
Reinforced-lib: Rapid prototyping of reinforcement learning solutions
par: Szott, Szymon, et autres
Publié: (2024) -
Self-Calibrating Divergence Detection for Adaptive Best-of-N Reasoning A Mechanism Layered on Exponential Smoothing for Compute-Efficient Chain Selection
par: Cantrell, Cole
Publié: (2026) -
Chapter Risk Assessment and Automated Anomaly Detection Using a Deep Learning Architecture
par: Thomopoulos, Stelios C. A.
Publié: (2024)