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pro vyhledávání: '"Sreejit Chakravarty"'
Autor:
Sreejit Chakravarty
Publikováno v:
2022 IEEE 40th VLSI Test Symposium (VTS).
Publikováno v:
IEEE Design & Test. 37:27-34
Testing of the interconnects in a 3-D stack is a complex and expensive process. The authors propose a method using prebond testing to reduce manufacturing cost and improve overall yield.-Vivek Chickermane, Cadence Design Systems.
Publikováno v:
VTS
Many semi-conductor manufacturing companies use 3D interconnect technology to flexibly combine smaller heterogeneous designs in a system-on-package. Internal I/O (IIO) are placed at two ends of the inter-die interconnect. Small dimension of IIOs proh
Publikováno v:
VTS
A comparative study of pre-bond TSV test methodologies is presented in this paper. The study includes the impact of interconnect wires and I/O transmitter and receiver parameters on the sensitivities of the test methods. We study four classes of test
Publikováno v:
International Journal of Applied Evolutionary Computation. 7:71-100
This paper presents the pattern classification of the binary microarray gene expression based medical data using extreme learning machine (ELM) and its variants like on-line sequential ELM (OSELM) and kernel based extreme learning machine (KELM). In
Publikováno v:
Swarm and Evolutionary Computation. 28:144-160
Microarray gene expression based medical data classification has remained as one of the most challenging research areas in the field of bioinformatics, machine learning and pattern classification. This paper proposes two variations of kernel ridge re
Publikováno v:
International Journal of Knowledge-based and Intelligent Engineering Systems. 20:75-96
Publikováno v:
VTS
In this IP session, there will be 3 presentations focusing on functional testing and fault injection for automotive functional safety applications as well as a discussion on fault simulation and modeling for relevant analog test content. The 1st pres
Publikováno v:
Swarm and Evolutionary Computation. 24:25-49
Machine learning techniques are being increasingly used for detection and diagnosis of diseases for its accuracy and efficiency in pattern classification. In this paper, improved cuckoo search based extreme learning machine (ICSELM) is proposed to cl
Autor:
Sreejit Chakravarty, Prashant Goteti
Publikováno v:
VTS