Results 221 to 230 of about 104,245 (325)

Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The overlapping and imbalanced data in classification present key challenges. Class‐separable extreme learning machine auto‐encoding (CS‐ELM‐AE) is proposed, which is an enhancement of ELM‐AE that better handles overlapping data by clustering points from the same class together. Applying oversampling addresses imbalanced data.
Ekkarat Boonchieng, Wanchaloem Nadda
wiley   +1 more source

Laser writing in glass for dense, fast and efficient archival data storage. [PDF]

Nature
Microsoft Research Project Silica Team.
europepmc   +1 more source

Characteristics, Management, and Utilization of Muscles in Musculoskeletal Humanoids: Empirical Study on Kengoro and Musashi

Advanced Intelligent Systems, EarlyView.
Musculoskeletal humanoids exhibit rich biomechanical properties that remain insufficiently unified in prior discussions. This article systematically categorizes muscle characteristics into five properties: redundancy, independency, anisotropy, variable moment arm, and nonlinear elasticity, and analyzes their combined effects on control.
Kento Kawaharazuka, Kei Okada, Masayuki Inaba   +2 more
wiley   +1 more source

Integrated multi-omics reveals the ITGB2-IL2RB-NK axis in promoting papillary thyroid carcinoma progression and immune microenvironment crosstalk. [PDF]

Discov Oncol
Xu J, Gao C.
europepmc   +1 more source

Performance of Two-Hop Relay Assisted Decode-and-Forward Transmission under Mixed Fading Environments

, 2015
Nuri Kapucu, Mehmet Bilim, İbrahim Develı, Yasin Kabalcı   +3 more
openalex   +2 more sources

Calibration‐Free Electromyography Motor Intent Decoding Using Large‐Scale Supervised Pretraining

Advanced Intelligent Systems, EarlyView.
Calibration‐free electromyography motor intent decoding is enabled through large‐scale supervised pretraining across heterogeneous datasets. A Spatially Aware Feature‐learning Transformer processes variable channel counts and electrode geometries, allowing transfer across users and recording setups. On a held‐out benchmark, fine‐tuned cross‐user models
Alexander E. Olsson, Nebojša Maleševic, Anders Björkman, Christian Antfolk   +3 more
wiley   +1 more source

Identification of therapeutic targets for insomnia through genetic and plasma proteomic approaches. [PDF]

Medicine (Baltimore)
Wang X, Lu J, Lin F, Li G, Zhao W.
europepmc   +1 more source

EMG‐Driven Telemetry and Inference System for Fish: Pose Reconstruction and Flow Sensing

Advanced Intelligent Systems, EarlyView.
This work introduces an electromyography (EMG)‐driven telemetry framework that reconstructs body pose and infers hydrodynamic conditions in freely swimming fish. A custom 16‐channel archival system records intramuscular EMG, enabling deep‐learning models to decode joint kinematics, classify flow regimes, and reveal channel‐efficient sensing strategies.
Rahdar Hussain Afridi, Waqar Hussain Afridi, Muhammad Hamza, Ahsan Tanveer, Mingxin Wu, Xingwen Zheng, Liang Li, Guangming Xie   +7 more
wiley   +1 more source

IRS-Assisted Dual-Mode Relay-Based Adaptive Transmission. [PDF]

Sensors (Basel)
Wang D, Xu Y, Gao Z, Ding H, Zhu S, Li Z.   +5 more
europepmc   +1 more source

Performance Comparison of Energy Efficiency of Transmitter in MIMO Decode-and-Forward Relay Channels

, 2015
Anunch itha
openalex   +1 more source