Results 151 to 160 of about 5,294 (265)

Identifying Dolphin Whistle Producers With Deep Learning: Moving Beyond Signature Whistles

Marine Mammal Science, Volume 42, Issue 3, July 2026.
ABSTRACT Bottlenose dolphins produce several types of whistle contours, including signature whistles, shared whistles, copies of conspecifics' signature whistles, and variant whistles. While signature whistles as individual identifiers are well studied, less has been demonstrated for identifying dolphins from non‐signature whistle types.
Brittany Jones, Maximilian Du, Jessica Sportelli   +2 more
wiley   +1 more source

Listening to Bryde's Whales With an Island Seismometer: Low‐Frequency Call Detection and Seasonal Patterns Revealed by Deep Learning

Geophysical Research Letters, Volume 53, Issue 11, 16 June 2026.
Abstract Bryde's whales form a major coastal aggregation in the Beibu Gulf, China. Using 1 year of continuous island‐based seismic recordings from Xieyang Island, we established a large labeled data set of coastal Bryde's whale calls with more than 1.7 million samples.
Zhuo Xiao, Yue Wang, Mo Chen, Chunheng Yan, Zehui Lin, Zhitao Wang, Min Xu   +6 more
wiley   +1 more source

Energy efficiency in underwater sensor networks: a research review [PDF]

, 2010
Ovaliadis, Kyriakos, Kanakaris, Venetis, Savage, Nick   +2 more
core  

Thin and Compact Versus Thick and Porous Fouling Layers in the Emulsion Polymerization of Acrylates and Vinyl Acetates Studied In Situ With a Quartz Crystal Microbalance (QCM)

Journal of Applied Polymer Science, Volume 143, Issue 21, June 5, 2026.
ABSTRACT Building on a quartz crystal microbalance with dissipation monitoring (QCM‐D), fouling in emulsion polymerization was compared between acrylate dispersions stabilized with a mobile, anionic surfactant and dispersions of poly(vinyl acetate‐co‐vinyl neodecanoate), PVAc, stabilized with polyvinyl alcohol, PVOH.
K. M. Hoffmann, O. Sidorow, W. Augustin, S. Scholl, A. Langhoff, D. Johannsmann   +5 more
wiley   +1 more source

A MAC protocol design for underwater acoustic WiFi network

, 2018
Underwater acoustic WiFi (UWA-WiFi) network is similar to the traditional terrestrial WiFi network, which provides wireless access services for underwater nodes (e.g., marine engineering equipment, underwater vehicles, divers, sensors, and so on).
Cui, Jun-Hong, Pan, Xiaohe, Liu J(刘军)   +2 more
core  

Harnessing Fungal Biowelding for Constructing Mycelium‐Engineered Materials

Advanced Engineering Materials, Volume 28, Issue 11, 3 June 2026.
Mycelium‐bound composites (MBCs) offer low‐carbon alternatives for construction, yet interfacial bonding remains a critical challenge. This review examines fungal biowelding as a biocompatible adhesive, elucidating mycelium‐mediated interfacial mechanisms and their role in material assembly. Strategies to optimize biowelding are discussed, highlighting
Xue Brenda Bai, Xinrui Sarah Niu, Zhao Qin   +2 more
wiley   +1 more source

Dynamic Beam Control-Based Neighbor Discovery Protocol for Underwater Acoustic Networks with Multi-Parallel Transceiver. [PDF]

Sensors (Basel)
Zhang J, Zhou L, Wang H, Zeng Z, Hu Q.
europepmc   +1 more source

A Cooperative Transmission Protocol based on Synchronization-free for Underwater Acoustic Networks

, 2017
Underwater acoustic sensor network uses sound waves to be transmitted, resulting in underwater network with high propagation delay characteristics. Therefore, this paper designed for underwater network environment routing protocols, thereby reducing the ...
Ying-Hong Wang; Kai-Ti Chang
core  

3D Printing Innovations in Polymeric Porous and Patterned Architecture

Advanced Functional Materials, Volume 36, Issue 50, 22 June 2026.
Polymeric foams occupy a unique structural space between dense solids and open networks, where engineered void fraction governs mechanical compliance, thermal resistance, and mass transport. Additive manufacturing now enables precise spatial control over cellular architecture, unlocking designer foam structures across applications spanning crash ...
Dhanush Patil, Sri Vaishnavi Thummalapalli, Clarissa Westover, Arunachalam Ramanathan, M. Taylor Sobzcak, Roumika Patil, Qixuan Xiang, Tiantian Li, Sui Yang, Timothy E. Long, Hongyue Sun, Xianqiao Wang, Yang Liu, Kenan Song   +13 more
wiley   +1 more source

Enhancing Time-Domain Interference Alignment for Underwater Acoustic Networks with Cross-Layer Design. [PDF]

Sensors (Basel)
Xiao Q, Bi Z, Wang C.
europepmc   +1 more source