Results 61 to 70 of about 3,697,351 (295)

Improved Gender Recognition during Stepping Activity for Rehab Application Using the Combinatorial Fusion Approach of EMG and HRV

open access: yesApplied Sciences, 2017
Gender recognition is trivial for a physiotherapist, but it is considered a challenge for computers. The electromyography (EMG) and heart rate variability (HRV) were utilized in this work for gender recognition during exercise using a stepper.
Nor Aziyatul Izni Mohd Rosli   +5 more
doaj   +1 more source

A comparison of techniques for robust gender recognition [PDF]

open access: yes2011 18th IEEE International Conference on Image Processing, 2011
Automatic gender classification of face images is an area of growing interest with multiple applications. Appropriate classifiers should be robust against variations such as illumination, scale and orientation that occur in real world applications. This can be achieved by normalizing the images in order to reduce those variations (alignment, re-scaling,
Richard N. Rojas-Bello   +3 more
openaire   +1 more source

Pathways and pitfalls: a qualitative study of student experiences in biomedical science education

open access: yesFEBS Open Bio, EarlyView.
Biomedical science students from underrepresented backgrounds face barriers including financial strain, disrupted laboratory access and cultural exclusion. Peer networks provide vital support when institutional systems are difficult to navigate. To create inclusive learning environments and achieve academic success, educators should blend active, hands‐
Olivia J. Russell   +8 more
wiley   +1 more source

Gender Recognition Method from Speech Data and Analysis of the Developed Method in Emotional Categories

open access: yesInternational Journal of Pioneering Technology and Engineering
Recent advances in speech-based artificial intelligence have increased interest in extracting demographic information, such as gender, directly from speech signals.
Sait Can Yucebas, Rabia Tintin
doaj   +1 more source

Facial Feature Recognition with Multi-task Learning and Attention-based Enhancements [PDF]

open access: yesIranica Journal of Energy and Environment
Facial feature recognition (FFR) has witnessed a remarkable surge in recent years, driven by its extensive applications in identity recognition, security, and intelligent imaging.
M. Rohani, H. Farsi, S. Mohamadzadeh
doaj   +1 more source

Five‐Year Outcomes of Laparoscopic Sphincter‐Preserving Surgery for Rectal Cancer: A Prospective Study in Elderly Vietnamese Patients

open access: yesAging and Cancer, EarlyView.
This prospective study demonstrates that laparoscopic sphincter‐preserving surgery is feasible for elderly patients. While overall survival reaches 70% at 5 years, advanced T‐stage and the omission of neoadjuvant therapy significantly drive recurrence, highlighting the need for personalized geriatric protocols despite logistical challenges.
Huu Duc Ho   +4 more
wiley   +1 more source

CGIAR GENDER Impact Platform Newsletter, issue 2, June-July 2022

open access: yes, 2023
In this issue, we share with you latest news from the CGIAR GENDER Impact Platform as well as updates on gender research from across CGIAR's research portfolio.
CGIAR GENDER Impact Platform
core   +1 more source

Gender Classification Using Face Vectors: A Deep Learning Approach Without Classical Models

open access: yesInformation
In recent years, deep learning techniques have become increasingly prominent in face recognition tasks, particularly through the extraction and classification of face vectors.
Semiha Makinist, Galip Aydin
doaj   +1 more source

Face masks affect emotion categorisation, age estimation, recognition, and gender classification from faces

open access: yesCognitive Research, 2022
Although putting on a mask over our nose and mouth is a simple but powerful way to protect ourselves and others during a pandemic, face masks may interfere with how we perceive and recognize one another, and hence, may have far-reaching impacts on ...
Hoo Keat Wong, Alejandro J. Estudillo
doaj   +1 more source

A Low Psoas Muscle Index Was Associated With a Poorer Overall Survival in Patients Who Underwent Percutaneous Nephrostomy

open access: yesAging and Cancer, EarlyView.
In patients with malignant ureteral obstruction undergoing percutaneous nephrostomy, sarcopenia defined by a low psoas muscle index was independently associated with poor overall survival on multivariate Cox regression analysis, suggesting that preoperative assessment of psoas muscle index may aid prognostic stratification in this population.
Kota Shimokihara   +3 more
wiley   +1 more source

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