Page 143 - Deep Learning News Today

SEOUL, South Korea, Oct. 12, 2022 /PRNewswire/ -- "Conversational AI Market" from Data Bridge Market Research, This research helps businesses thrive by offering in-depth market analyses and

Japan: An artificial intelligence (AI) algorithm can improve fracture detection on whole-body trauma computed tomography (CT) exams performed on patients in emergency departments, researchers state in...

In Australian urban roads, pneumatic tubes are temporarily installed over roads to determine the road usage by vehicles. This is a relatively expensive process and the data cannot be obtained for about two weeks until a manual retrieval of data. In the past, we developed a highly accurate real-time computer vision-based system which relied on back ground subtraction, morphological operations and Gaussian filtering to track centroid of vehicles and accurately determine their speeds and count them...

Cloud failure is one of the critical issues since it can cost millions of dollars to cloud service providers, in addition to the loss of productivity suffered by industrial users. Fault tolerance management is the key approach to address this issue, and failure prediction is one of the techniques to prevent the occurrence of a failure. One of the main challenges in performing failure prediction is to produce a highly accurate predictive model. Although some work on failure prediction models has ...

State of Charge (SOC), state of health (SOH), and remaining useful life (RUL) are the crucial indexes used in the assessment of electric vehicle (EV) battery management systems (BMS). The performance and efficiency of EVs are subject to the precise estimation of SOC, SOH, and RUL in BMS which enhances the battery reliability, safety, and longevity. However, the estimation of SOC, SOH, and RUL is challenging due to the battery capacity degradation and varying environmental conditions. Recently, d...

Service recommendation is key to improving users’ online experience. The development of the Internet has accelerated the creation of many services, and whether users can obtain good experiences among the massive number of services mainly depends on the quality of service recommendation. It is commonly believed that deep learning has excellent nonlinear fitting ability in capturing the complex interactions between users and items. The advantage in learning intricacy relationships enables deep l...

Despite advances in neurosurgical and drug therapy procedures suggested for treating epilepsy, about 30% of patients are considered as refractory cases that remain non-responsive to treatments. In such cases, the patients experience seizures varying in severity and frequency, from one or fewer seizures per month to multiple seizures per day. This unpredictable nature of seizures and their potential threat to patients' lives calls for a sustainable solution for the long-term monitoring and r...

Over the past few years, the awful COVID-19 pandemic effect has become a lethal sickness. The processing of the gathered samples requires extra time due to the use of medical diagnostic equipment, methodologies, and clinical testing procedures for the early diagnosis of infected individuals. An innovative multimodal paradigm for the early diagnosis and precise categorization of COVID-19 is put up as a solution to this issue. To extract distinguishing features from the prepared chest X-ray pictur...

Rare diseases are often difficult to diagnose and predicting the best course of treatment can be challenging for clinicians.

New Delhi, Oct 10 (IANS) Indian Institute of Technology (IIT) Mandi and National Skill Development Corporation (NSDC) have introduced a Certificate and an