Multiphoton microscopy (MPM) offers a feasible approach for the biopsy in clinical medicine, but it has not been used applications due to lack of efficient image processing methods, especially automatic segmentation technology. Segmentation technology is still one most challenging assignments MPM imaging technique.The model based on deep learning effective methods address this problem. In paper, practicability using convolutional neural network (CNN) segment skin cells vivo was explored. A...

AbstractA coupled thermo-hydro-chemical (THC) model has been developed to study the thermally and hydraulically processes in hydrating cemented paste backfill (CPB). Afterwards, THC is validated against laboratory data (CPB made of Portland cement CPB that contains mineral admixtures) field column studies cured underground mine environments). In addition, applied simulate predict thermal (e.g. temperature development conductivity), hydraulic water drainage, suction or negative pore-water...

An underground iron mine in China has been used as a case-study to research the subsidence due ore extraction and backfilling during open stoping operations. A 3-D discontinuum numerical model was built incorporating geologic complexities including faults interfaces between different lithologies, sequence adopted from plans. The carried out two vertically stacked horizontal layers, with total of 16 stopes. Large displacements up 50 cm were observed along roof stopes, maximum surface 22.5...

Autonomous vehicles are increasingly becoming a part of our daily lives, with active chassis control systems playing pivotal role and drawing significant attention from both academia industry. Current research on vehicle-to-vehicle overtaking behavior predominantly focuses low-to-moderate speeds, insufficient studies addressing high-speed lane-changing maneuvers. Under conditions, the variability complexity road environments significantly increase tracking errors, posing challenges for...

Medical image segmentation is of important support for clinical medical applications. As most the current models are limited in U-shaped structure, to some extent deep convolutional neural network (CNN) structure design hard be accomplished. The this study mimics way wave elastomeric propagating, extending from both horizontal and spatial dimensions realizing Elastomeric UNet (EUNet) structure. EUNet can divided into two types: EUNet, based on propagation direction. advantages threefold....

Abstract With rapid developments in convolutional neural networks for image processing, deep learning methods based on pixel classification have been extensively applied medical segmentation. One popular strategy such tasks is the encoder‐decoder‐based U‐Net architecture and its variants. Most segmentation fully will cause loss of spatial contextual information due to continuous pooling operations or strided convolution when decreasing resolution, make less use global under different...

Cemented gangue backfill (CGB, a mixture of coal gangue, cement and water) is widely used in China for backfilling mines. The addition fly ash to CGB mixtures can help them have favourable environmental economic performance. In addition, mechanical stability durability are also important performance criteria CGB, these two closely related the suction CGB. evolution influenced by binder hydration, which an exothermic process affecting variation temperature To examine coupled effects hydration...

A low-power capacitor-splitting switching algorithm for successive approximation register (SAR) and analog-to-digital converters (ADCs) is proposed. To reduce the total power consumption, it does not require reset energy, which accounts a large proportion. Besides, energy-efficient one-side double-level technique also utilized from forth bit cycle. Thus, proposed requires 26.54 CV[Formula: see text] 16.75% less over tri-level one. Due to structure, shows good linearity performance.

In order to model rock mass fracturing and destabilizing along various structural planes, in this paper, a cellular automata (CA) is set up, CA evolution algorithm mainly considering energy propagation developed. A computing program put forward on Matlab, the process of plane studied, which shows complexity process.

Usually, the optimistic method of underground metal mines is selected by some mathematic methods, empowered safe, technical and economic indicators with weight. Due to make selection mining more scientific rational, Firstly, Safe indicator considered separately based on perspective corporate social responsibility fuzzy comprehensive evaluation (FCE) used initial stage. Secondly, Entropy adopted determine weight related final phase in case that subjectivity determining weights happens....

To manage heat load problems in deep mining, a research program for measuring and predicting the underground environment parameters was carried out Jiudian gold mine.The deposit is buried from 150 to -950 m underground.The development drifts reach -710 Level mine's main production levels are at -510 -550 m.The mine encountered several hot springs, though blocked, springs still affect environment.Some were measured three mining summer winter, including temperature moisture of air flow, rock...

The problem of birds nesting in high-voltage towers has laid a major hidden danger to the safe operation long-distance transmission lines. In power line inspection, image background bird's nest is complex. Some nests are small and locally occluded, it difficult for existing object detection algorithms detect with low computational effort under high accuracy. To solve above problems, we recommend using KBN-YOLOv5. Based on YOLOv5, use K-means algorithm cluster size bird set anchor frame....