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Characteristics and Formation Mechanism of Ca–Mg–Al–Si–O + (Ca,Mn)S Duplex Inclusions in Ca–S Free-Cutting Steel
Large numbers of long strip-shaped pure MnS inclusions in steel will result in anisotropy of mechanical properties. To obtain more duplex (Ca,Mn)S...
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Multi-channel anomaly detection using graphical models
Anomaly detection in multivariate time-series data is critical for monitoring asset conditions, enabling prompt fault detection and diagnosis to...
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A novel fusion feature imageization with improved extreme learning machine for network anomaly detection
As the complexity and quantity of network data continue to increase, accurate and efficient anomaly detection methods become critical. Deep...
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Multi-objective optimization of PLA-FDM parameters for enhancement of industrial product mechanical performance based on GRA-RSM and BBD
The FDM™/FFF technology is widely adopted in both hobbyist and professional 3D printing communities, offering a plethora of printing parameters for...
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Deep reinforcement learning based mapless navigation for industrial AMRs: advancements in generalization via potential risk state augmentation
This article introduces a novel Deep Reinforcement Learning (DRL)-based approach for mapless navigation in Industrial Autonomous Mobile Robots,...
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Enhancement of Microstructural and Tensile Isotropy for Ti–6Al–4V and Ti–6Al–2Sn–2Zr–2Mo–2Cr Alloys Deposited with Wire Arc Additive Manufacturing and Interlayer Peening
AbstractThe wire arc additive manufacturing (WAAM) deposition of Ti–6Al–4V (Ti64) and Ti–6Al–2Sn–2Zr–2Mo–2Cr (Ti62222) alloys produce long columnar...
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Elimination of cracks in stainless steel casings via 3D printed sand molds with an internal topology structure
The important supporting component in a gas turbine is the casing, which has the characteristics of large size, complex structure, and thin wall. In...
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Reimbursement policy considering patient revisits from online to offline in a public healthcare system
Configuring e-visits has become an effective way to improve patients’ medical experience and reduce medical costs. This paper examines a public...
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Context-aware cross feature attentive network for click-through rate predictions
Click-through rate (CTR) prediction aims to estimate the likelihood that a user will interact with an item. It has gained significant attention in...
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Dissimilar metals welding processes realized by vaporizing metal foils
In high-velocity impact welding (HVIW), vaporizing foil actuator welding (VFAW) can be utilized to join dissimilar metals. In comparison with...
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A real-time human bone fracture detection and classification from multi-modal images using deep learning technique
Human bone is an essential structure that allows the body to move. It is a common observation in contemporary society that bone fractures occur...
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Esophagogastroscopy for predicting endoscopic ultrasonography T-stage by utilizing deep learning methods in esophageal cancer
Endoscopic ultrasonography (EUS) is commonly utilized in preoperative staging of esophageal cancer, however with additional pain and cost as well as...
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Process window and mechanical properties for thin magnesium- and zinc-wires in dieless wire drawing
Due to their biodegradable properties, magnesium- and zinc-based alloys are in the focus of interest for numerous medical applications, e.g. in the...
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Synthesis of quaternary high entropy carbonate and UV-Vis-NIR optical properties
In this study, four-element high entropy carbonate solid solutions with Mg as the primary element and three equimolar transition metal elements (Co,...
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Diagnosability and attack detection for discrete event systems under sensor attacks
This paper extends the theory of diagnosability by investigating fault diagnosis in discrete event systems under sensor attacks using finite-state...
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Numerical simulation of microstructure and microporosity morphology in directional solidification of aluminum-copper alloys: Effect of copper content and withdrawal rate
Microporosity formed in the solidification process of Al alloys is detrimental to the alloy properties. A two-dimensional cellular automaton (CA)...
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Hierarchical contrastive representation for zero shot learning
Zero-shot learning aims to identify unseen (novel) objects, using only labeled samples from seen (base) classes. Existing methods usually learn...
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Achieving accurate and balanced regional electric vehicle charging load forecasting with a dynamic road network: a case study of Lanzhou City
AbstractSpatial and temporal predictions of electric vehicle (EV) charging loads provide a basis for further research on synergistic operation of...
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Magnetic phase transition and magnetocaloric effect in amorphous Gd52Fe28B20 alloy
Magnetic phase transition and magnetocaloric effect in the amorphous Gd 52 Fe 28 B 20 alloy are exhaustively explored. The melt spinning technique was...
