Page 115 - Deep Learning News Today

In 2022, the city of Tržič in the Slovenian Alps launched a town-wide parking guidance system using Parquery's camera-based smart parking solution. This makes Tržič the first city in Slovenia to fully implement a parking guidance system based on ...

Feb. 22, 2023 — NVIDIA released on update on its virtual GTC 2023 conference, March 20-23. Registration is free and open at www.nvidia.com/gtc. CEO [...]

/PRNewswire/ -- The "Growth Opportunities in Artificial Intelligence, Machine Learning, Computer Vision, Voice Analytics, Data Labeling, Conversational AI,...

Wire-arc additive manufacturing (WAAM) is an arc-based directed energy deposition approach that uses an electrical arc as a source of fusion to melt the wire feedstock and deposit layer by layer. It’s applicable in fabricating large-scale components. At this stage, there are still some issues that need to be researched deeply, such as manufacturing accuracy control, process parameters optimization, path planning, and online monitoring. Machine learning is a new emerging artificial intelligence...

Identifying user preferences is a complex operation, which makes its automa- tion challenging, and existing recommendation systems that rely on one of the parameters ratings or reviews are incapable of performing effectively. In this work, an ensemble based deep learning method is used to develop a recommen- dation model in which both ratings and reviews are analyzed simultaneously. The first step is to identify the features required in our work which is reviews and ratings of a product. Next st...

Deep learning facilitates complex medical data analysis and is increasingly being explored in colorectal cancer diagnostics. However, the training cost of the deep learning model limits its real-world medical utility. In this study, we present a composite network that combines deep learning and unsupervised K-means clustering algorithm (RK-net) for automatic processing of medical images. RK-net was more efficient in image refinement compared with manual screening and annotation. The training of ...

Higher productivity in online education can be attained by consistent student engagement and appropriate use of learning resources and methodologies in the form of audio, video, and text. Lower literacy rates, decreased popularity, and unsatisfactory end-user goals can result from unbalanced or inappropriate use of the aforementioned. Prior studies mainly focused on identifying and separating the elements affecting the quality of online education and pinpointing the students' preferred lear...

Forecasting return and profit is a primary challenge for financial practitioners and an even more critical issue when it comes to forecasting energy market returns. This research attempts to propose an effective method to predict the Brent Crude Oil return, which results in remarkable performance compared with the well-known models in the return prediction. The proposed hybrid model is based on long short-term memory (LSTM) and convolutional neural network (CNN) networks where the autoregressive...

Efficient management of water resources is an important task given the significance of water in daily lives and economic growth. Water resource management is a specific field of study which deals with the efficient management of water resources towards fulfilling the needs of society and preventing from water-related disasters. Many activities within this domain are getting benefitted with the recent technological advancements. Within many others, computer vision-based solutions have emerged as ...

The focal point of this work is to automatically detect metaphor instances in short texts. It is the study of extricating the most optimal features for the task by using a deep learning architecture and carefully hand-crafted contextual features. The first feature set is created using a Convolutional Neural Network (CNN) architecture. Then, three other feature sets are manually hand-crafted using contextual justifications. Next, all of the feature sets are combined. Finally, the combined feature...