Results 101 to 110 of about 1,949,915 (291)

Process‐informed co‐optimization of liquid air energy storage and data centers under off‐design thermodynamic operation

open access: yesAIChE Journal, EarlyView.
Abstract The rapid growth of AI data centers (AIDCs) is intensifying stress on power systems and exposing operators to volatile electricity markets. This work develops a process‐informed co‐optimization framework that integrates liquid air energy storage (LAES) with AIDC operation. Unlike black‐box storage models, the proposed formulation captures LAES
Zhicong Fang   +3 more
wiley   +1 more source

Identificação das Mudanças Espaço-temporais nos Biomas Brasileiros por Intermédio da Análise de Componentes Principais (ACP)

open access: yesRevista Brasileira de Cartografia, 2022
O artigo apresenta uma análise espaço-temporal das mudanças no uso e cobertura da terra dos Biomas brasileiros a partir do uso dos dados do projeto MapBiomas e da Análise de Componentes Principais.
Letícia Figueiredo Sartorio   +1 more
doaj  

Embedded Morgan Fingerprints for More Efficient Molecular Property Predictions With Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
High dimensionality of Morgan fingerprints causes overfitting and slow training. Embedded Morgan Fingerprint (eMFP) compresses this encoding while keeping key structural information intact. Tested on five regression models across three databases for HOMO–LUMO gap prediction, eMFP outperforms standard fingerprints, training faster on large, high ...
Emilio Nuñez‐Andrade   +4 more
wiley   +1 more source

Remote Monitoring of Coffee Leaf Miner Infestation Using Fuzzy Logic and the Google Earth Engine Platform

open access: yesAgriEngineering
The coffee leaf miner (Leucoptera coffeella) is a major pest of coffee crops and can cause significant economic losses. Early monitoring is essential to support decision-making for its control.
Laura Teixeira Cordeiro   +10 more
doaj   +1 more source

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

Anti-Plagiarism Tools: Scirus v. Google [PDF]

open access: yes, 2005
This project is an extension of an earlier research project in which the Google search engine was tested as a tool for detecting plagiarism in online master’s theses.
McCullough, Mark, Holmberg, Melissa
core  

AI Powered Biobanks From Static Archives to Dynamic Discovery Engines

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin   +5 more
wiley   +1 more source

Automated Bacterial Identification and Morphological Feature Analysis in Low‐Dose Cryo‐EM Using YOLOv11

open access: yesAdvanced Intelligent Discovery, EarlyView.
AI‐based tools enable rapid characterization of bacterial ultrastructure in low‐dose cryogenic transmission electron microscopy. The envelope thickness tool quantifies membrane thickness and anisotropy. The flagella module analyzes filament morphology and detects cell‐flagella contacts.
Sita Sirisha Madugula   +10 more
wiley   +1 more source

Google Earth Engine

open access: yesGeographic Information Science & Technology Body of Knowledge, 2020
James Coll, Xingong Li
openaire   +1 more source

Optimising metadata to make high-value content more accessible to Google users [PDF]

open access: yes, 2006
Purpose: This paper shows how information in digital collections that have been catalogued using high-quality metadata can be retrieved more easily by users of search engines such as Google.
Dawson, Alan, Hamilton, Val, Dawson, A.
core   +1 more source

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