Results 41 to 50 of about 311,640 (277)
A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
DESTINY: A Comprehensive Tool with 3D and Multi-Level Cell Memory Modeling Capability
To enable the design of large capacity memory structures, novel memory technologies such as non-volatile memory (NVM) and novel fabrication approaches, e.g., 3D stacking and multi-level cell (MLC) design have been explored.
Sparsh Mittal +2 more
doaj +1 more source
Solid Harmonic Wavelet Bispectrum for Image Analysis
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source
Cache Improvement Based on Routing Protocol for Ad-Hoc Networks: Systematic Literature Review
This systematic literature review critically examines the current state of cache improvement strategies in the routing protocol for Ad-Hoc Networks.
Ammar Kareem Obaid +2 more
doaj +1 more source
Long‐Tea‐CLIP (Contrastive Language‐Image Pre‐training) presents a multimodal AI framework that integrates visual, metabolomic, and sensory knowledge to grade green tea across appearance, soup color, aroma, taste, and infused leaf. By combining expert‐guided modeling with CLIP‐supervised learning, the system delivers fine‐grained quality evaluation and
Yanqun Xu +9 more
wiley +1 more source
ICICD: An Efficient Content Distribution Architecture in Mobile Cellular Network
With the recent proliferation of powerful mobile devices, such as smart phones and tablets, data traffic on mobile networks is growing explosively. To cope with the challenges brought by the explosive growth of mobile traffic, mobile network operators ...
Junfeng Xie +4 more
doaj +1 more source
Dynamic Hierarchical Cache Management for Cloud RAN and Multi- Access Edge Computing in 5G Networks [PDF]
Cloud Radio Access Networks (CRAN) and Multi-Access Edge Computing (MEC) are two of the many emerging technologies that are proposed for 5G mobile networks.
Rajendiran, Deepika Pathinga
core +1 more source
Learning-Based Optimization of Cache Content in a Small Cell Base Station
Optimal cache content placement in a wireless small cell base station (sBS) with limited backhaul capacity is studied. The sBS has a large cache memory and provides content-level selective offloading by delivering high data rate contents to users in its ...
Blasco, Pol, Gunduz, Deniz
core +1 more source
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv +11 more
wiley +1 more source

