Results 91 to 100 of about 211,652 (286)

Prediction of users’ future requests using neural network [PDF]

open access: yesManagement Science Letters, 2012
With the rapid growth of the World Wide Web, finding useful information from the Internet has become a critical issue. Automatic classification of user navigation patterns provides a useful tool to solve these problems.
Seyedeh Foroozan Rashidi   +2 more
doaj  

The dominant of Bloggers in Malaysian politics through social networks [PDF]

open access: yes, 2009
Every country in this world has own political issues. In Malaysia for example, political issues played an important role that can influence other factors such as social and economy.
Abd. Rozan, Mohd. Zaidi   +3 more
core  

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia   +1 more
wiley   +1 more source

A Large-Itemset-Based Index Structure for Supporting Personalized Information Filtering on the Internet [PDF]

open access: yesJournal of Systemics, Cybernetics and Informatics, 2005
The World Wide Web creates many new challenges for information retrieval.
Ye-In Chang, Tsu-I Chen, Jun-Hong Shen
doaj  

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan   +3 more
wiley   +1 more source

Hidden Markov Mined Activity Model for Human Activity Recognition

open access: yesInternational Journal of Distributed Sensor Networks, 2014
Object-usage-based human activity recognition systems require activity data for learning. Acquiring such data from the real world is expensive and time consuming. To overcome such difficulties, the exploitation of web activity data is gaining popularity.
A. M. Jehad Sarkar
doaj   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer   +3 more
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

open access: yesAdvanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova   +4 more
wiley   +1 more source

Analyzing Web Server Access Log Files Using Data Mining Techniques [PDF]

open access: yes, 2013
Nowadays web is not only considered as a network for acquiring data, buying products and obtaining services but as a social environment for interaction and information sharing. As the number of web sites continues to grow it becomes more difficult for
Martinovska, Cveta, Velkoski, Marjan
core  

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

open access: yesAdvanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser   +6 more
wiley   +1 more source

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