Titlebook: Computers and Devices for Communication; Proceedings of CODEC Nikhil Ranjan Das,Santu Sarkar Conference proceedings 2021 Springer Nature Si

Ganglion

茁壯成長(zhǎng)

The UK’s Relationship with EuropeA) structures in Transposon of different species and detected its Frequency of Occurrence (FO) using ‘IdenSatDNA’ algorithm. We have found that SatDNA structures are present in both AT-rich and GC-rich sequences, and most of the samples we have tested contain at least one SatDNA structure. We have a

昏暗

Conclusion: Struggling over Sovereignty,3-Mdm2 protein pathway forms a negative feedback network where p53 activates Mdm2 and Mdm2 deactivates p53 through ubiquitination. The interaction between p53-Mdm2 plays an important role in cancer progression. In this paper, ordinary differential equation (ODE) is derived based on mass action kinet

instructive

IEEE 754 Floating Point Pipelined Multiplier with Karatsuba for Mitigations of Area and Powersented in order to reduce power and area expenditures to fast the process of the adder and reduce delay. To achieve, the design Verilog language is used and targeted on Xilinx Virtex-5 (XC5VLX155FF1760-3) and Cadence on TSMC-180?nm CMOS technology. The architecture reduces the processing block as it

tic-douloureux

Digital Fault Detection Techniques: A Reviewand cheap testing procedures and algorithms help to decrease the manufacturing costs for digital circuits to a significant extent. The present work discusses state-of-the-art digital fault detection techniques. Specific emphasis is laid on a relatively new class of techniques that employ machine lea

constitute

Machine Learning-Based Rain Attenuation Prediction Modeled using multichannel radiometer and laser precipitation monitor at a tropical location. The dataset obtained is used to initially propose an empirical model for prediction of rain attenuation from rain rate data. An alternative model using linear spline regression-based machine learning is also use

dysphagia

祖?zhèn)?/a>

Detection of Coronal Holes in Solar Disk Image Using Fast Fuzzy C-Means Algorithmsegmentation has been used for the detection of the CHs in the solar disk image. Here in the work, the task of image segmentation has been carried out using fast fuzzy c-means algorithm (FFCM). In the work, modified classical fuzzy c-means clustering technique has been induced for the segmentation o

LASH

獎(jiǎng)牌

An Artificially Intelligent Fusion Approach for Prognosis of Alzheimer’s Disease directional information of the source images, the shift-invariant non-subsampled shearlet transform (NSST)-based decomposition technique is employed. Then, principle component analysis (PCA) and position-based maximum energy selection scheme are applied for lower subband and higher subbands, respec