Results 231 to 240 of about 3,286,710 (378)

How mobile phone addiction leads to college students' learning burnout: the role of depression as a mediator and fear of missing out as a moderator. [PDF]

Front Psychiatry
Song T, Zhu H, Yang K, Chang W, Ni J.
europepmc   +1 more source

Phone recognition in continuous speech (Dutch) [PDF]

, 1990
Paul van Alphen
openalex   +1 more source

Mobile phone spam scams [PDF]

, 2004
Griffiths, MD
core  

DBF‐Net: A Deep Bidirectional Fusion Network for 6D Object Pose Estimation with Sparse Linear Transformer

Advanced Intelligent Systems, EarlyView.
6D object pose estimation is a critical component in computer vision domain. A deep bidirectional fusion network is developed, DBF‐Net, which achieves accurate 6D object pose estimation using a single RGB‐D image. DBF‐Net effectively extracts and fuses geometric and appearance features from input data.
Xuan Fan, Tao An, Hongbo Gao, Tao Xie, Lijun Zhao, Ruifeng Li   +5 more
wiley   +1 more source

Optimization of connection patterns between mobile phones and base stations using quantum annealing. [PDF]

Sci Rep
Takabayashi T, Sudo S, Aoki T, Seo S, Ohzeki M.   +4 more
europepmc   +1 more source

Sync Signal for Experimental Video Phone

, 1974
Kei Takikawa, Noboru Kurosawa
openalex   +2 more sources

Mystery solved in US phone failures [PDF]

, 1991
Robert Pool
openalex   +1 more source

Energy‐Efficient Knapsack Optimization Using Probabilistic Memristor Crossbars

Advanced Intelligent Systems, EarlyView.
The knapsack problem, a nondeterministic polynomial‐time (NP)‐hard combinatorial optimization problem, is solved energy‐efficiently. This work presents an algorithm‐hardware co‐design and implementation for practical (non‐ideal) NP‐hard problems with destabilizing self‐feedback (non‐zero diagonal) and non‐binary Hamiltonian representations under analog
Jinzhan Li, Suhas Kumar, Su‐in Yi
wiley   +1 more source

Adjusting mobile phone data to account for children's travel and the impact on measles dynamics in Zambia. [PDF]

Am J Epidemiol
Kostandova N, Prosperi C, Mutembo S, Nakazwe C, Namukoko H, Nachinga B, Chongwe G, Chilumba I, Kabalo EN, Makungo K, Matakala KH, Musukwa G, Hamahuwa M, Mufwambi W, Matoba J, Mutale I, Simulundu E, Ndubani P, Hasan AZ, Truelove SA, Winter AK, Carcelen AC, Lau B, Moss WJ, Wesolowski A.   +24 more
europepmc   +1 more source

Hi‐LabSpermTracking: A Novel and High‐Quality Sperm Tracking Dataset with an Advanced Ensemble Detection and Tracking Approach for Real‐World Clinical Scenarios

Advanced Intelligent Systems, EarlyView.
This study presents Hi‐LabSpermTracking, a long‐duration, expert‐annotated sperm motility dataset for detection and tracking. It evaluates You Only Look Once version 8, Real‐Time Detection Transformer, and Simple Online and Realtime Tracking with a Deep Association Metric in three scenarios. The mean ensemble method improves tracking performance. Sperm
Abdulsamet Aktas, Gorkem Serbes, Hakkı Uzun, Merve Huner Yigit, Nizamettin Aydin, Hamza Osman Ilhan   +5 more
wiley   +1 more source