This work presents the automated design for a common-source (CS) amplifier that includes a diode-connected load using a machine learning-based method [19]. While considering the limitations placed on the circuit …
Archives
This study undertakes a comprehensive assessment of the performance of two pivotal static random access memory configurations: the traditional 6T and innovative 7T SRAM cells. Key parameters, encompassing read and …
This project comprehensively investigates the applications of end-to-end ASR, including models like Transformers and the combination of RNNs with CNNs and CTC loss for the English language. The primary goal …
Exploring Advanced Techniques And Enhancing Software Quality Assurance Through Machine Learning-based Fault Prediction
by Shivam Kashyap 414 viewsIn pursuit of impeccable software quality, crucial for ensuring customer satisfaction and economizing testing efforts, a comprehensive examination of diverse machine learning (ML) techniques was undertaken. Leveraging both established and …
With the advancements in modern communication technology, ecommerce has gained immense popularity. Today, there are online stores like amazon, flipkart etc. where people can buy stuff from the comfort of …
As social media has become an integral part of our life, its great usage also carries the risk of exposing unpleasant content. A topic of increasing relevance, artificial intelligence (AI) …
Essential technology with many applications in traffic surveillance, law enforcement, and vehicle administration is automatic license plate recognition (ALPR). With an especially focus on the methods, challenges, and outcomes, this …
A Comparative Study Of Fake News Detection Using Machine Learning And Deep Learning Techniques
by Shivam Kashyap 414 viewsDEEP LEARNING TECHNIQUES: Published as real journalism to deceive or control viewers, “fake news” is information that has been deliberately falsified or misrepresented. The widespread spread of false information and …
In this study, we introduce a approach to emotional classification of suicide note sentences. In our model, features are extract by CNN layers, sequential dependencies are captured using BiLSTM layers, …
Road Crack Detection and Segmentation Using Two-phase Convolutional Neural Network
by Shivam Kashyap 419 viewsWith the extensive development in the infrastructures, road crack maintenance has become a critical issue in our day-to-day life. Specially, in concrete-structured constructions like roads, monuments, and bridges, cracking is …