Results 51 to 60 of about 25,464 (256)

Managing Charge Transport and Exciton Generation for Highly Efficient, Bright, and Stable Near‐Infrared Organic Radical Light‐Emitting Diodes

Advanced Functional Materials, EarlyView.
High‐performing near‐infrared (NIR) organic light‐emitting diodes are demonstrated using an efficient and stable 800 nm‐emissive organic radical and a thermally activated delayed fluorescence (TADF) host. TADF‐assisted exciton generation combined with improved charge transport enables high external quantum efficiency (>8%), high radiance (>70,000 mW sr−
Hwan‐Hee Cho, Min‐Hsuan Chang, Yi‐Syun Chen, Tetsuro Kusamoto, Emrys W. Evans, Yuh‐Renn Wu, Richard H. Friend   +6 more
wiley   +1 more source

Sistem Pengenal Wicara Menggunakan Mel-Frequency Cepstral Coefficient

Semesta Teknika, 2017
Human-machine interaction evolves toward a more adaptive and interactive system. There are several media that can be used in human-machine interaction systems, such as voice signals.
Karisma Trinanda Putra
doaj  

An Antimicrobial, Cell‐Adhesive, and Growth Factor‐Producing Living Material Engineered From Bacillus subtilis Biofilms for Wound Healing

Advanced Healthcare Materials, EarlyView.
Bacillus subtilis is engineered to produce cell‐adhesive biofilms by functionalization of its biofilm scaffold protein TasA with a cell‐adhesion sequence. Living bacteria within the biofilm are also engineered to secrete growth factors and natively produce antimicrobial peptides (AMPs), resulting in a cell‐adhesive, antimicrobial, and growth factor ...
Mélanie Côté‐Cyr, Marie‐Jeanne Archambault, Caroline Dupuis, Steve Bourgault   +3 more
wiley   +1 more source

Mel Frequency Cepstral Coefficients: An Evaluation Of Robustness Of Mp3 Encoded Music.

, 2006
[TODO] Add abstract here.
Sigurdsson, Sigurdur, Petersen, Kaare Brandt, Lehn-Schiøler, Tue   +2 more
openaire   +3 more sources

Advanced Materials for Biologics Delivery to Brain Tumors

Advanced Materials, EarlyView.
Material innovation is central to unlocking the therapeutic potential of biologics against many central nervous system diseases, including brain cancer. By engineering carriers with controlled transport, targeting, and release properties, advanced materials can overcome the blood–brain barrier and tumor microenvironment, improving the delivery of ...
Yuran Feng, Yuxue Cao, Maria Kavallaris, Taskeen Janjua, Amirali Popat   +4 more
wiley   +1 more source

A playback speech detection algorithm based on log inverse Mel-frequency spectral coefficient

Dianxin kexue, 2018
The popularity and portability of high-fidelity audio recording equipment and playback equipment poses a serious challenge for speaker recognition systems against playback attacks.Based on the differences between the original speech and the playback ...
Lang LIN, Rangding WANG, Diqun YAN, Can LI   +3 more
doaj   +2 more sources

Effective Mel-Spectrogram Synthesis for Multi-Speaker Text-to-Speech With Band-Specific Acoustic Modeling

IEEE Access
Recent advances in multi-speaker text-to-speech synthesis have enabled speaker-adaptive generation from short reference samples, yet preserving speaker individuality while sustaining real-time inference remains difficult.
A-Seong Moon, Dahyun Song, Jaesung Lee
doaj   +1 more source

Photoacoustic Nanotagging for In Vivo Tracking and Optimization of Macrophage Immunotherapy in Solid Tumors

Advanced Materials, EarlyView.
Macrophage‐based immunotherapy for solid tumors is limited by poor tracking of cell localization and persistence. This study introduces nanotagged macrophages enabling near‐infrared photoacoustic imaging for real‐time monitoring. IFNγ‐conjugated tags enhance antitumor polarization without harming viability.
Seoyoon Song, Melissa Cadena, Myeongsoo Kim, Euisuk Chung, Jeungyoon Lee, Zlata Brushevich, Seonghun Shin, Paul S. Pelkowski, Stanislav Y. Emelianov   +8 more
wiley   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source