The relationships between the law and fact, and the use of the facts to support a legal conclusion requires practice. This study introduces a technique called the "legal analysis of data extraction" which he...
The relationships between the law and fact, and the use of the facts to support a legal conclusion requires practice. This study introduces a technique called the "legal analysis of data extraction" which helps students/law practitioners to quickly assess a law article on the basis of the extracted attributes, and then apply their understanding in order to support a legal conclusion. To ease the processing of the law text data and retrieval of important information (entities) like names of Judges, appellants, respondents, judgment dates, etc. by utilizing NLP processes and ML techniques. This study demonstrates a novel approach of advanced information retrieval in the law articles leveraging natural language processing and machine learning techniques which are productized and used on live data as well. In this custom NER, aggregate accuracy of 95% is achieved using text classification followed by a regex fallback and flagging mechanism. This study consists of the following sections- a) Introduction b) Related Work c) About Dataset d) Methodology and approach e) Fallback mechanisms f) Results and Evaluations g) Conclusions & Future Scope with h) References.
In Todays era breast cancer is a main reason of deaths among women across the world. If detected at early stage it increases the survival rates of the patients. In the last few years, deep learning techniques have bee...
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ISBN:
(数字)9798350366846
ISBN:
(纸本)9798350366853
In Todays era breast cancer is a main reason of deaths among women across the world. If detected at early stage it increases the survival rates of the patients. In the last few years, deep learning techniques have been used in medical imaging in the early detection of disease. This research focuses on the development of a deep learning-based mechanism for the early detection of breast cancer by ultrasound scan images. The proposed technique in this paper presents the usage of CNNs to extract relevant features from ultrasound images. A large dataset of annotated ultrasound scans is used for training the deep learning model. To measure the effect of the developed system, extensive experiments and validations are conducted using independent test datasets. In our work, CNN models have been trained to identify the three cases of breast tissues such as normal, benign, and malignant, and were optimized using Recursive Feature Elimination Optimizer and divide it into 80% for the training set and 20% for the testing set. VGG-19, ResNet-101 and ResNeXt architectures optimized by Recursive Feature Elimination optimizer are used for training and validation of the breast cancer dataset and get the accuracy of 98.5% for the optimized VGG-19 model.
A high-gain aperture coupled antenna with superstrate structure for 60 GHz communication is proposed. Unprinted dielectric slab acts as superstrate is added above the antenna in order to increase the gain performance....
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ISBN:
(纸本)9781479923441
A high-gain aperture coupled antenna with superstrate structure for 60 GHz communication is proposed. Unprinted dielectric slab acts as superstrate is added above the antenna in order to increase the gain performance. Then, the effective radiated area and transmission line model are used to further enhance the gain. The maximum simulated gain of the antenna with superstrate structure can achieve 15.2 dBi at 60 GHz and is more than 13 dBi all over the 60 GHz band (from 57 to 66 GHz). From simulated results, the radiation patterns are found to be broadside all over the frequency band.
Class E power amplifier circuit consists mainly of active device operates as a switch, load network and series LC filter tuned to fundamental frequency. Class E power amplifier has different configurations according t...
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Class E power amplifier circuit consists mainly of active device operates as a switch, load network and series LC filter tuned to fundamental frequency. Class E power amplifier has different configurations according to the load network such as : class E power amplifier with shunt capacitance , with parallel tuned circuit and with shunt inductance . The aim of this paper is to compare using simulation between the amplifier performances such as PAE, gain, drain voltage and current waveforms for the three configurations of class E power amplifier at different frequencies of operation.
We propose a hardware/software cosynthesis algorithm for processors with heterogeneous registers. Given a CDFG corresponding to an application program and a timing constraint, the algorithm generates a processor confi...
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We propose a hardware/software cosynthesis algorithm for processors with heterogeneous registers. Given a CDFG corresponding to an application program and a timing constraint, the algorithm generates a processor configuration minimizing area of the processor and an assembly code on the processor. First, the algorithm configures a datapath which can execute several DFG nodes with data dependency at one cycle. The datapath can execute the application program at the least number of cycles. The branch and bound algorithm is applied and all the number of functional units and memory banks are tried. For an assumed number of functional units and memory banks, an appropriate number of heterogeneous registers and connections to functional units and registers are explored. The experimental results show effectiveness and efficiency of the algorithm.
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