Results 71 to 80 of about 7,212 (303)

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

Advanced 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, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

Prediction of Creep Concrete in Lightweight Concrete with Pumice as Coarse Aggregate

Rekayasa Sipil
Concrete creep is the additional strain that develops in concrete under constant stress over time. In this study, lightweight concrete is created by entirely replacing coarse aggregate with pumice to reduce the concrete's overall weight.
Chairah Maulidyah, Wisnumurti, Desy Setyowulan   +2 more
doaj   +1 more source

Experimental study on the strength of lightweight geopolymer concrete with eco-friendly material

Građevinar, 2020
The differences in properties between the lightweight aggregate concrete and normal conventional concrete at the selected equivalent mix ratios have forbidden the former from being used widely in construction industry.
Nithya Swaminathan, N.S. Elangovan, Jayaprithika Anandan   +2 more
doaj   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

The influence of OPC and PPC on compressive strength of ALWA concrete

MATEC Web of Conferences, 2018
Lightweight concrete is one of the options used in construction in lieu of the traditional normal-weight concrete. Due to its lightweight, it provides lighter structural members and thus, it reduces the total weight of the structures.
Diajeng Aryani Fedya, Tavio, Gusti Putu Raka I, Puryanto   +3 more
doaj   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

LIGHTWEIGHT CONCRETE ON POROUS AGGREGATES

This article is devoted to lightweight concrete with porous aggregates. Varieties of porous aggregates of organic and mineral origin are given. The technology for producing lightweight concrete is considered, the main physical and technological properties of such concrete and the scope of their application for lightweight concrete are ...
Turgaev J.A, Bekkulov V.K, Takhirjanov N.K   +2 more
openaire   +2 more sources

High‐Speed Altitude Regulation With Neuromorphic Camera and Lightweight Embedded Computation

Advanced Intelligent Systems, EarlyView.
Neuromorphic cameras deliver rapid, high‐dynamic‐range sensing but overwhelm embedded processors at high speeds. This work presents a lightweight, optimized Lucas–Kanade optical flow method with parallelization, gyroscopic derotation, and adaptive event slicing.
Simon L. Jeger, Alessandro Marchei, Charbel Toumieh, Dario Floreano   +3 more
wiley   +1 more source

Identifying Dynamical Quantum Phase Transitions With a Migratable Quantum‐Classical Hybrid Neural Network

Advanced Intelligent Systems, EarlyView.
A hybrid quantum‐classical architecture is introduced to accurately identify dynamical quantum phase transitions from time‐evolved quantum states. The QCNN serves as a quantum dynamical feature extractor, while the classical network learns temporal correlations from a low‐dimensional readout sequence. The framework attains high accuracy, remains robust
Daili Li, Xin–Xin Yang, Xiaoting Wang, Wei Zhang   +3 more
wiley   +1 more source

Effect of Lightweight Waste-Based Aggregate on Lightweight Concrete

International Journal of Recent Technology and Engineering (IJRTE), 2019
This paper study the effectiveness of waste material from industrial by-product as lightweight self-cured concrete. Waste material involved in this study is coal bottom ash, oil palm boiler clinker and hydrogel from diapers. Coal bottom ash (CBA) used as a fine aggregate replacement whilst oil palm clinker (OPBC) added into the concrete mixture as ...
Salmia Beddu*, Zakaria Che Muda, Daud Mohamad, null Agusril, S N Sadon, M Hanafi, Sivakumar Naganathan, Fadzli Mohamed Nazri   +7 more
openaire   +1 more source