Results 81 to 90 of about 277,436 (279)

Topical problems concerning both methods and economy to develop mineral deposits [PDF]

open access: yes, 2018
Purpose. Development of mining enterprises adaptation to changes in conjuncture of a product market relying upon its competitiveness while reducing expenditures connected with mineral stock extraction at the expense of mining operation schedule ...
Kasianenko, L   +4 more
core   +1 more source

Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution

open access: yesAdvanced Intelligent Discovery, EarlyView.
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren   +6 more
wiley   +1 more source

Roof Fracture Characteristics and Strata Behavior Law of Super Large Mining Working Faces

open access: yesGeofluids, 2021
Exploiting the working face in coal mines using a super long mining length and large mining height has become important for intensive production with high yield and high efficiency.
Guozhen Zhao   +4 more
doaj   +1 more source

ISER 2012 Working Paper No. 1 [PDF]

open access: yes, 2012
Large resource development projects take years to plan. During that planning time, the public frequently debates the potential benefits and risks of a project, but with incomplete information.
Loeffler, Bob
core  

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

open access: yesAdvanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour   +5 more
wiley   +1 more source

Region-Based Image Retrieval Revisited

open access: yes, 2017
Region-based image retrieval (RBIR) technique is revisited. In early attempts at RBIR in the late 90s, researchers found many ways to specify region-based queries and spatial relationships; however, the way to characterize the regions, such as by using ...
Hinami, Ryota   +2 more
core   +1 more source

Implementation of probabilistic approach to rock mass strength estimation while excavating through fault zones [PDF]

open access: yes, 2019
Purpose. The paper addresses the rock mass state estimation while excavating a cross-heading through the area of regional fault “Bohdanivskyi” based on probabilistic approach to assessing the rock strength. Methods.
Babets, D   +4 more
core   +1 more source

Autonomous Machine Learning‐Based Classification and Arrangement of Submillimeter Objects Using a Capillary Force Gripper

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study presents an automated system integrating a capillary force gripper and machine learning‐based object detection for sorting and placing submillimeter objects. The system achieved stable and simultaneous manipulation of four object types, with an average task time of 86.0 seconds and a positioning error of 157 ± 84 µm, highlighting its ...
Satoshi Ando   +4 more
wiley   +1 more source

Data mining reactor fuel grab load trace data to support nuclear core condition monitoring [PDF]

open access: yes, 2006
A critical component of an advanced-gas cooled reactor (AGR) station is the graphite core. As a station ages, the graphite bricks that comprise the core can distort and may eventually crack.
Jahn, G.J.   +4 more
core   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan   +3 more
wiley   +1 more source

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