Results 211 to 220 of about 446,831 (348)

The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers

Advanced Intelligent Discovery, EarlyView.
We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen, Patrick W. V. Butler, Jesper R. Pedersen, Nis Fisker‐Bødker, Tejs Vegge, Jin Hyun Chang, Ivano E. Castelli   +6 more
wiley   +1 more source

BABSA: A large scale bangla aspect based sentiment analysis dataset. [PDF]

Data Brief
Siam MFR, Wafa N.
europepmc   +1 more source

Advanced Experiment Design Strategies for Drug Development

Advanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang, Anthony Harker, Mohan Edirisinghe, Maryam Parhizkar   +3 more
wiley   +1 more source

MADTRAS: Dataset for aspect-based sentiment analysis of movie reviews in Tamil. [PDF]

Data Brief
Arunmozhi M, Sunitha R, Rajalakshmi D, Mohan E S.   +3 more
europepmc   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Aspect-Based Sentiment Analysis for Open-Ended HR Survey Responses

Understanding preferences, opinions, and sentiment of the workforce is paramount for effective employee lifecycle management. Open-ended survey responses serve as a valuable source of information.
Rink, Lois, Graus, David, Meijdam, Job
core   +1 more source

Cross-domain Aspect-based Sentiment Analysis Based on Pre-training Model with Data Augmentation

Aspect-based Sentiment Analysis(ABSA) is a fine-grained sentiment analysis task,which aimes at identifying specific aspects in text and exploring their sentiment orientation.To solve the problem of poor performance of ABSA model due to its in-ability to ...
CHEN Ge, WANG Zhongqing
core   +1 more source

LM-SODP: Language Model Self-Optimizing Discrete Prompt for Aspect Based Sentiment Analysis. [PDF]

Entropy (Basel)
Bu K, Liu Y.
europepmc   +1 more source

A Critical Assessment of Bonding Descriptors for Predicting Materials Properties

Advanced Intelligent Discovery, EarlyView.
The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik, Nidal Dhamrait, Katharina Ueltzen, Christina Ertural, Philipp Benner, Gian‐Marco Rignanese, Janine George   +6 more
wiley   +1 more source

A Comparative Study of Embedding Techniques and Classifiers for Aspect-Based Sentiment Analysis of Shopee Reviews

E-commerce platforms like Shopee generate massive volumes of user reviews that contain valuable insights about products, services, and user experiences.
Gondohanindijo, Jutono
core   +2 more sources