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Toward an NLP Approach for Transforming Paper Contracts into Smart Contracts
(
Springer Science and Business Media Deutschland GmbH
, 2023 , Conference Paper)
Identifying and extracting information from contracts is an important task of contract analysis, which is mostly performed manually by lawyers and legal specialists. This manual analysis is a time-consuming, error-prone ...
Digital heritage enrichment through artificial intelligence and semanticweb technologies
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Art and culture represent substantial ways to transfer the history of humans across civilizations and epochs. Preserving artwork and cultural objects is thus important and the focus of multiple institutions and governments ...
Deep learning based identification of DDoS attacks in industrial application
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Denial of Service (DoS) attacks are very common type of computer attack in the world of internet today. Automatically detecting such type of DDoS attack packets dropping them before passing through is the best prevention ...
Field data forecasting using lstm and bi-lstm approaches
(
MDPI
, 2021 , Article)
Water, an essential resource for crop production, is becoming increasingly scarce, while cropland continues to expand due to the world's population growth. Proper irrigation scheduling has been shown to help farmers improve ...
Convolutional Autoencoder Approach for EEG Compression and Reconstruction in m-Health Systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
In the last few years, the number of patients with chronic diseases requiring constant monitoring increased rapidly, which motivates researchers to develop scalable remote health applications. Nevertheless, the amount of ...
DSPNet: A Self-ONN Model for Robust DSPN Diagnosis From Temperature Maps
(
Institute of Electrical and Electronics Engineers Inc.
, 2023 , Article)
Diabetic sensorimotor polyneuropathy (DSPN) leads to pain, diabetic foot ulceration (DFU), amputation, and death. The diagnosis of advanced DSPN to identify those at risk is key to preventing DFU and amputation. Alterations ...
RELIABLE COVID-19 DETECTION USING CHEST X-RAY IMAGES
(
IEEE Computer Society
, 2021 , Conference Paper)
Coronavirus disease 2019 (COVID-19) has emerged the need for computer-aided diagnosis with automatic, accurate, and fast algorithms. Recent studies have applied Machine Learning algorithms for COVID-19 diagnosis over chest ...
Deep learning techniques for liver and liver tumor segmentation: A review
(
Elsevier
, 2022 , Article)
Liver and liver tumor segmentation from 3D volumetric images has been an active research area in the medical image processing domain for the last few decades. The existence of other organs such as the heart, spleen, stomach, ...
Benchmark database for fine-grained image classification of benthic macroinvertebrates
(
Elsevier Ltd
, 2018 , Article)
Managing the water quality of freshwaters is a crucial task worldwide. One of the most used methods to biomonitor water quality is to sample benthic macroinvertebrate communities, in particular to examine the presence and ...
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Article)
The reliable and rapid identification of the COVID-19 has become crucial to prevent the rapid spread of the disease, ease lockdown restrictions and reduce pressure on public health infrastructures. Recently, several methods ...