Results 31 to 40 of about 857,916 (274)

Improving Acceptance to Sensory Substitution: A Study on the V2A-SS Learning Model Based on Information Processing Learning Theory

IEEE Transactions on Neural Systems and Rehabilitation Engineering
The visual sensory organ (VSO) serves as the primary channel for transmitting external information to the brain; therefore, damage to the VSO can severely limit daily activities. Visual-to-Auditory Sensory Substitution (V2A-SS), an innovative approach to
Kyeong Deok Moon, Yun Kyung Park, Moo Seop Kim, Chi Yoon Jeong   +3 more
doaj   +1 more source

Data Augmentation for Skin Lesion Analysis

, 2018
Deep learning models show remarkable results in automated skin lesion analysis. However, these models demand considerable amounts of data, while the availability of annotated skin lesion images is often limited.
Avila, Sandra, Perez, Fábio, Valle, Eduardo, Vasconcelos, Cristina   +3 more
core   +1 more source

Impact of Device and Environment on Visual-Auditory Sensory Substitution: A Comprehensive Behavioral Analysis Using the vOICe Algorithm

IEEE Access
Recent studies have revealed that visual-auditory sensory substitution devices (SSDs) can effectively convey visual information to visually impaired or blind individuals through sound. However, SSDs are still not widely available to the visually impaired
Mooseop Kim, Yunkyung Park, Kyeongdeok Moon, Chi Yoon Jeong   +3 more
doaj   +1 more source

Data Augmentation of Wearable Sensor Data for Parkinson's Disease Monitoring using Convolutional Neural Networks

, 2017
While convolutional neural networks (CNNs) have been successfully applied to many challenging classification applications, they typically require large datasets for training.
Endo, Satoshi, Fietzek, Urban, Hirche, Sandra, Kulić, Dana, Lang, Muriel, Pfister, Franz Michael Josef, Pichler, Daniel, Um, Terry Taewoong   +7 more
core   +1 more source

A polynomial oracle-time algorithm for convex integer minimization

, 2007
In this paper we consider the solution of certain convex integer minimization problems via greedy augmentation procedures. We show that a greedy augmentation procedure that employs only directions from certain Graver bases needs only polynomially many ...
A. Märkert, F.V. Louveaux, J.A. De Loera, J.A. De Loera, J.E. Graver, J.R. Birge, K. Murota, M. Aschenbrenner, R. Hemmecke, R. Hemmecke, R. Schultz, R.K. Ahuja, R.W. Rosenthal, Raymond Hemmecke, Robert Weismantel, S. Hoşten, Shmuel Onn, W. Römisch   +17 more
core   +3 more sources

Efficacy and Tolerability of Topotecan/Cyclophosphamide/Dinutuximab in Relapsed and Refractory High‐Risk Neuroblastoma: A Multi‐Institutional Retrospective Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Chemoimmunotherapy with irinotecan, temozolomide, and dinutuximab (I/T/DIN) has emerged as first‐line therapy for relapsed/refractory (r/r) high‐risk neuroblastoma (HRNB) in North America. Topotecan and cyclophosphamide (T/C) are often used in combination with dinutuximab in the setting of lack of response, progression, or incomplete ...
Benjamin J. Lerman, Madeleine King, Rajen Mody, Sara‐Jane Onyeama, Araz Marachelian, Thomas Cash, Sara M. Federico, Meaghan Granger, Ami V. Desai, Suzanne Shusterman, Jennifer H. Foster, Elizabeth Sokol, Chelsee Greer, Keri Streby, Holly J. Meany, Kieuhoa T. Vo, Margaret E. Macy, Rochelle Bagatell   +17 more
wiley   +1 more source

Datasets, Machine Learning Recognition Performance, and Key Issues in Nursing Care Activity Recognition: A Systematic Review

IEEE Access
Countries experiencing rapid aging face severe caregiver shortages, necessitating effective workforce optimization. Nursing care activity recognition (NCAR) offers a promising solution by automatically detecting caregiving tasks over time and visualizing
Yasuyuki Yoshida, Hiroyasu Miwa, Satoshi Nakae, Satoki Ogiso, Ryosuke Ichikari, Takashi Okuma   +5 more
doaj   +1 more source

Time series forecasting of agricultural product prices based on recurrent neural networks and its evaluation method

SN Applied Sciences, 2020
We propose a time series forecasting method for the future prices of agricultural products and present the criteria by which forecasted future time series are evaluated in the context of statistical characteristics.
Koichi Kurumatani
doaj   +1 more source

Counterexample-Guided Data Augmentation

, 2018
We present a novel framework for augmenting data sets for machine learning based on counterexamples. Counterexamples are misclassified examples that have important properties for retraining and improving the model. Key components of our framework include
Dreossi, Tommaso, Ghosh, Shromona, Keutzer, Kurt, Sangiovanni-Vincentelli, Alberto, Seshia, Sanjit A., Yue, Xiangyu   +5 more
core   +2 more sources

By dawn or dusk—how circadian timing rewrites bacterial infection outcomes

FEBS Letters, EarlyView.
The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo, Catherine S. Palmer, Jacqueline M. Kimmey   +2 more
wiley   +1 more source