Results 81 to 90 of about 16,570 (263)

Quantized Convolutional Neural Networks Robustness under Perturbation [version 1; peer review: 2 approved]

F1000Research
Contemporary machine learning models are increasingly becoming restricted by size and subsequent operations per forward pass, demanding increasing compute requirements.
Guy Kember, Issam Hammad, Jack Langille
doaj   +1 more source

Analysis of Fast Radix-10 Digit Recurrence Algorithms for Fixed-Point and Floating-Point Dividers on FPGAs

International Journal of Reconfigurable Computing, 2013
Decimal floating point operations are important for applications that cannot tolerate errors from conversions between binary and decimal formats, for instance, commercial, financial, and insurance applications.
Malte Baesler, Sven-Ole Voigt
doaj   +1 more source

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

Advanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

Ultrahigh‐Yield, Multifunctional, and High‐Performance Organic Memory for Seamless In‐Sensor Computing Operation

Advanced Functional Materials, EarlyView.
Molecular engineering of a nonconjugated radical polymer enables a significant enhancement of the glass transition temperature. The amorphous nature and tunability of the polymer, arising from its nonconjugated backbone, facilitates the fabrication of organic memristive devices with an exceptionally high yield (>95%), as well as substantial ...
Daeun Kim, Jaehyoung Ko, Namju Kim, Quynh H. Nguyen, Hoyeon Lee, Joohwan Eo, Seongeon Jin, Ji Eon Kwon, Seung‐Yeol Jeon, Youngdo Jeong, Dongseok Kwon, Sung Gap Im, Sanghan Lee, Byung Chul Jang, Yongho Joo   +14 more
wiley   +1 more source

GIA-YOLO: A Target Detection Method for Nectarine Picking Robots in Facility Orchards

Agronomy
The complex and variable environment of facility orchards poses significant challenges for intelligent robotic operations. To address issues such as nectarine fruit occlusion by branches and leaves, complex backgrounds, and the demand for high real-time ...
Longlong Ren, Yuqiang Li, Yonghui Du, Ang Gao, Wei Ma, Yuepeng Song, Xingchang Han   +6 more
doaj   +1 more source

Tailoring Microstructure in Copper‐Based Conductive Metal–Organic Frameworks for Enhanced Chemiresistive Sensing and Uptake of Sulfur Dioxide

Advanced Functional Materials, EarlyView.
Precursor‐ and solvent‐mediated synthesis yields four Cu3(HHTP)2 morphologies with distinct physicochemical, sorption, and sensing properties toward SO2. Uptake capacities correlate with BET surface area, while sensing performance scales with particle aspect ratio.
Patrick Damacet, Zhuoran Zhong, Elí Sánchez‐González, Camille L. Slagle, Ilich A. Ibarra, Katherine A. Mirica   +5 more
wiley   +1 more source

Motion‐Compensation Control of Supernumerary Robotic Arms Subject to Human‐Induced Disturbances

Advanced Intelligent Systems
Supernumerary robotic limbs (SRLs) are a novel type of wearable robot used as the third limb to assist the wearer to perform operations that are difficult or impossible for human hands.
Qinghua Zhang, Dongbao Sui, Hongwei Jing, Kerui Sun, Yuancheng Li, Xianglong Li, Haotian Ju, Yuan Tang, Mingzhu Lai, Jie Zhao, Yanhe Zhu   +10 more
doaj   +1 more source

Coal gangue image recognition model based on CSPNet-YOLOv7 target detection algorithm

Meitan kexue jishu
The gangue recognition technology is one of the key technologies in the intelligent construction of mines. To address the problem of low accuracy of the gangue recognition model caused by low illumination and high dust environment at the working face and
Xiaolong WEI, Fangtian WANG, Dongsheng HE, Chao LIU, Dalian XU   +4 more
doaj   +1 more source

Reducing Open‐Circuit Voltage Losses in Wide‐Bandgap FAPbBr3 Perovskite Solar Cells for Continuous Unassisted Light‐Driven Water Splitting

Advanced Functional Materials, EarlyView.
The combination of formamidinium thiocyanate and 1,3‐propane diammonium iodide for bulk and top‐surface passivation, and a ternary fullerene blend to improve energy band alignment, suppresses energy losses in wide‐bandgap FAPbBr3 perovskite solar cells.
Laura Bellini, Daniël Grosfeld, Bruno Branco, Guus J. W. Aalbers, Lana M. Kessels, Willemijn H. M. Remmerswaal, Nicolas Daub, Kunal Datta, Martijn M. Wienk, René A. J. Janssen   +9 more
wiley   +1 more source