Automated machining feature recognition is an essential component linking computer-aided design (CAD) and process planning (CAPP). Deep learning (DL) has recently emerged as a promising method to improve recognition. However, training DL-based models typically require annotating large amounts of data, which time-consuming labor-intensive for researchers. Additionally, DL struggle achieve satisf...

The utilization of computer-aided technologies in tissue engineering has evolved in the development of a new field of computer-aided tissue engineering (CATE). This article reviews recent development and application of enabling computer technology, imaging technology, computer-aided design and computer-aided manufacturing (CAD and CAM), and rapid prototyping (RP) technology in tissue engineerin...

SUMMARY The planning of road, railway, and subway tracks in urban environments is a manifold task because of complex legal, environmental, economic, and structural problems. However, skills and knowledge of the participants differ substantially and computer support for complex planning still is at its beginning. Especially computer-aided collaborative planning for 3D city and building models is...

Today, the development of large software systems is very diicult to manage. Traditional tools do not address the issue of designing and improving the development process as a whole while methods that do address this issue are, in general, not supported by tools. This paper presents a set of services that a Computer-Aided Process-Engineering (CAPE) system might ooer. We also describe various lev...

This paper proposes an Internet of Things (IoT) based 5-stage Industry 4.0 architecture to integrate the design and manufacturing systems in a Cyber Physical Environment (CPE). It considers transfer data through Cloud/Web-based (CW) services discusses effective way them. In 1st stage, Radio-Frequency IDentification (RFID) technology containing Computer Aided Design (CAD) data/models product wit...