Results 201 to 210 of about 8,104 (305)
Integrating an automated, on‐deck pH measurement method with feedback control enables precise, real‐time pH adjustment during low pH viral inactivation on a micro‐scale platform. Abstract The increasing demand for efficient monoclonal antibody manufacturing has accelerated the adoption of high throughput process development (HTPD) platforms, which ...
Paras Sharma +5 more
wiley +1 more source
Contextual classification of network traffic through rough set theory and convolutional neural networks. [PDF]
Priyanka D, Sundara Krishna YK.
europepmc +1 more source
Measuring the Burden of Choice: Development and Validation of a Choice Overload Scale
ABSTRACT Excessive choice imposes substantial cognitive demands on consumers, impair decision‐making, and generate negative consumer responses—a phenomenon widely known as the choice overload effect. Despite its conceptual prominence in consumer research and its enduring relevance in today's consumer markets, existing approaches to measuring choice ...
Jennifer Musial
wiley +1 more source
ABSTRACT Biochar has emerged as a useful and adaptable source of carbon for supercapacitor electrodes. Its value comes from the way biomass chemistry, thermal conversion, and activation conditions shape the resulting pore network, surface groups, and degree of carbon ordering.
Soumen Mandal +6 more
wiley +1 more source
Attention integrated deep learning models for interpretable multi-class IoT intrusion detection using SHAP. [PDF]
Raman R, Kumar R, Edwin Raj B, Akre V.
europepmc +1 more source
Machine Learning Paradigm for Advanced Battery Electrolyte Development
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su +4 more
wiley +1 more source
Internet of Things-Based Energy Consumption-Aware Framework Design for Smart Grid Environment. [PDF]
Çolak MA, Bayılmış C.
europepmc +1 more source
Beyond the hype surrounding the self‐healing properties of gallium‐based liquid metals (Ga‐LMs), this perspective critically examines their functional roles in metal‐ion batteries, highlighting both their underlying merits and the often‐overlooked challenges, including non‐representative design and testing configurations, performance overestimations ...
Turly P. P. Sumanasekara +7 more
wiley +1 more source
A weight clustering algorithm based on sliding window model for stream data. [PDF]
Chen J, Chen J, Zhong Z.
europepmc +1 more source
Carbon2Chem—Innovative Research for the Energy Transition
The Carbon2Chem project has been working on solutions for the energy transition since 2016. Despite changes in its framework conditions, the project remains on course. The project structure and the collaboration between the project partners are essential for the project's success.
Torsten Müller
wiley +1 more source

