Results 111 to 120 of about 3,987,318 (283)
Recent trends in the field of neural network accelerators investigate weight quantization as a means to increase the resource- and power-efficiency of hardware devices. As full on-chip weight storage is necessary to avoid the high energy cost of off-chip
Bol, David +2 more
core +1 more source
Accurate cancer staging is essential for cancer research and treatment evaluation. However, real‐world data often include incomplete or inconsistent UICC staging classifications. The presented Munich UICC Staging Tool (MUST) automates UICC stage derivation from TNM classifications and tumor characteristics, incorporating novel real‐world data rules to ...
Brigitte Kühnel +18 more
wiley +1 more source
Real-Time Data Processing With Lambda Architecture [PDF]
Data has evolved immensely in recent years, in type, volume and velocity. There are several frameworks to handle the big data applications. The project focuses on the Lambda Architecture proposed by Marz and its application to obtain real-time data ...
Malusare, Omkar Ashok
core +1 more source
bacNeo: A Computational Toolkit for Identifying Bacteria‐Derived Neoantigens in Human Cancers
We present bacterial neoantigen (bacNeo), a multi‐omics‐based computational software to classify bacterial components (BACC), type bacteria‐bound HLA alleles (BACH), and prioritize bacterial peptides as neoantigens (BACP). Bacterial neoantigen potential is quantified by score for peptide antigenicity recognition & kinetics (SPARK), enabling ...
Yunzhe Wang +5 more
wiley +1 more source
Online arithmetic also known as most-significant-digit-first (MSDF) computing is becoming a choice for hardware implementation of different machine learning algorithms.
Muhammad Akmal Shafique, Jeong-A Lee
doaj +1 more source
A personal 360° view of applications of ‘biomimetic’ molecular recognition
Abstract Molecular recognition between biological molecules has formed the basis for innumerable applications in biotechnology for the last seven decades or so. Techniques such as affinity chromatography, solid‐phase and aqueous two‐phase extraction, affinity precipitation, biomimetic catalytic systems, biosensors and molecular imprinting all exploit ...
Christopher R Lowe
wiley +1 more source
Novel Approximate Floating-Point Adder With Runtime Tunable Precision
This paper proposes a novel low-power approximate floating-point adder with runtime configurable precision. The design combines skipping addition, triggered when the exponent difference exceeds a programmable threshold, with tunable mantissa rounding to ...
Luca Tegazzini +6 more
doaj +1 more source
Automated FRET Analysis for Enhanced Characterization of Protein–Protein Interactions
A visual summary of the SONLab FRET Tool, displaying the entire workflow—from imaging to the plotting of quantified data. The results provided in this article were obtained using this automated pipeline. ABSTRACT Förster Resonance Energy Transfer (FRET) analysis is a powerful technique for studying protein–protein interactions; however, manual methods ...
Ahmet Zübeyir Nursoy +2 more
wiley +1 more source
Generalizations of Markov model to characterize biological sequences
Background The currently used kth order Markov models estimate the probability of generating a single nucleotide conditional upon the immediately preceding (gap = 0) k units.
Hannenhalli Sridhar, Wang Junwen
doaj +1 more source
ABSTRACT This study reviews BPM literature, examining how research conceptualizes and reports the relationship between BPM, performance, and sustainability, key trends, gaps, and future directions, combining bibliometric analysis with previously published case studies to connect theory and practice for organizational optimization.
Julio Gumiero +2 more
wiley +1 more source

