Results 51 to 60 of about 5,839,842 (237)

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source

Trigonometric words ranking model for spam message classification

IET Networks, EarlyView., 2022
Abstract The significant increase in the volume of fake (spam) messages has led to an urgent need to develop and implement a robust anti‐spam method. Several of the current anti‐spam systems depend mainly on the word order of the message in determining the spam message, which results in the system's inability to predict the correct type of message when
Suha Mohammed Hadi, Ali Hakem Alsaeedi, Dhiah Al‐Shammary, Zaid Abdi Alkareem Alyasseri, Mazin Abed Mohammed, Karrar Hameed Abdulkareem, Riyadh Rahef Nuiaa, Mustafa Musa Jaber   +7 more
wiley   +1 more source

A Graph Aggregation Convolution and Attention Mechanism Based Semantic Segmentation Method for Sparse Lidar Point Cloud Data

IEEE Access
In recent years, following the development of sensor and computer techniques, it is favored by many fields, i.e. automatic drive, intelligent home, etc., which the deep learning based semantic segmentation method for point cloud data collected by LiDAR ...
Tong Zheng, Jialun Chen, Wenbin Feng, Chongchong Yu   +3 more
doaj   +1 more source

Technology Transfer to Underwater Archaeology: The LAHKE Project at the Submerged Neolithic Site of La Marmotta

Archaeological Prospection, EarlyView.
ABSTRACT This document is a report on the field application of non‐invasive geophysical and robotic prospecting methods at the submerged Neolithic site of La Marmotta (Lake Bracciano, Italy), within the LAHKE (LAke Heritage Knowledge and Exploration) project; the study focuses on the practical validation, adaptation and transfer of existing ...
dell' Erba Ramiro, Cupertino Giacomo, Cipollini Angelo, Luciano Blasi, Quattrucci Luca   +4 more
wiley   +1 more source

Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh, Christian Jilek, Markus Schröder, Heiko Maus, Andreas Dengel   +4 more
wiley   +1 more source

LESA-Net: Semantic segmentation of multi-type road point clouds in complex agroforestry environment

Heliyon
Point-cloud semantic segmentation is a visual task essential for agricultural robots to comprehend natural agroforestry environments. However, owing to the extremely large amount of point-cloud data in agroforestry environments, learning effective ...
Yijian Duan, Danfeng Wu, Liwen Meng, Yanmei Meng, Jihong Zhu, Jinlai Zhang, Eksan Firkat, Hui Liu, Hejun Wei   +8 more
doaj   +1 more source

Measuring Corporate Alignment With the Circular Economy: a Text‐Based Circularity Index From Mandatory Non‐Financial Disclosures

Business Strategy and the Environment, EarlyView.
ABSTRACT The transition to a circular economy (CE) has become a strategic priority for firms, yet empirical assessments of corporate circularity remain fragmented and heavily dependent on structured indicators or self‐reported metrics. This paper proposes a novel, text‐based circularity index derived from mandatory non‐financial statements of large ...
Giuseppe Pernagallo, Francesco Quatraro, Eleonora Rubichi   +2 more
wiley   +1 more source

Edge Enhancement Oriented Graph Convolutional Networks for Point Cloud Segmentation

IEEE Access
Aiming at the problem of poor edge effect segmentation in point cloud segmentation, which fails to fully utilize the correlation between the local geometric and semantic features of point cloud.We propose an edge-enhanced graph convolution point cloud ...
Xiaoyan Zhang, Lin Feng
doaj   +1 more source

Visualizing ESG Signaling Through User‐Generated Content: A Strategic Foresight Framework for Symbolic Legitimacy in Hospitality Branding

Business Strategy and the Environment, EarlyView.
ABSTRACT Social media platforms today have become essential for consumer‐brand interactions, with visual content playing a pivotal role in shaping engagement and brand perception. Although text‐based user‐generated content (UGC) has been widely studied, the potential of visual UGC, particularly in the travel, tourism and hospitality (TTH) sector ...
Chinchu Abraham, Pabitra Mitra, Sujoy Bhattacharya   +2 more
wiley   +1 more source