Results 41 to 50 of about 125,965 (208)
BMC Bioinformatics, 2011 Background Remote homology detection is a hard computational problem. Most approaches have trained computational models by using either full protein sequences or multiple sequence alignments (MSA), including all positions.
Carbone Alessandra +2 more
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Advanced Functional Materials, EarlyView.This work establishes a general theory of the current transient of ionic‐electronic transistors under a step of gate voltage. The dominant effect is a transient charging of the channel by diffusion of ions. The additional influence of electrolyte capacitance and resistance splits the fundamental time constant of diffusion into two different components.
Juan Bisquert, Nir Tessler
wiley +1 more source
XAI Human-Machine collaboration applied to network security
Frontiers in Computer ScienceCyber attacking is easier than cyber defending—attackers only need to find one breach, while the defenders must successfully repel all attacks. This research demonstrates how cyber defenders can increase their capabilities by joining forces with ...
Steve Moyle +2 more
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Bootstrapping Knowledge Graphs From Images and Text
Frontiers in Neurorobotics, 2019 The problem of generating structured Knowledge Graphs (KGs) is difficult and open but relevant to a range of tasks related to decision making and information augmentation.
Jiayuan Mao +7 more
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Proceedings 35th International Conference on Logic Programming (Technical Communications) [PDF]
EPTCS 306, 2019, 2019 Since the first conference held in Marseille in 1982, ICLP has been the premier international event for presenting research in logic programming. Contributions are sought in all areas of logic programming, including but not restricted to: Foundations: Semantics, Formalisms, Nonmonotonic reasoning, Knowledge representation.
arxiv +1 more source
Advanced Materials, EarlyView.Wearable sensors, empowered by AI and smart materials, revolutionize healthcare by enabling intelligent disease diagnosis, personalized therapy, and seamless health monitoring without disrupting daily life. This review explores cutting‐edge advancements in smart materials and AI‐driven technologies that empower wearable sensors for diagnostics and ...
Shuwen Chen +14 more
wiley +1 more source
MP-SPILDL: A Massively Parallel Inductive Logic Learner in Description Logic
IEEE AccessThis article presents MP-SPILDL, a massively parallel inductive logic learner in Description Logic (DL). MP-SPILDL is a scalable inductive Logic Programming (ILP) algorithm that exploits existing Big Data infrastructure to perform large-scale inductive ...
Eyad Algahtani
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Semantic Probabilistic Inference of Predictions
Известия Иркутского государственного университета: Серия "Математика", 2017 Prediction is one of the most important concepts in science. Predictions obtained from probabilistic knowledge, are described by an inductive-statistical inference (I-S inference).
E. E. Vityaev
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Multiple-Instance Learning Approach via Bayesian Extreme Learning Machine
IEEE Access, 2020 Multiple-instance learning (MIL) can solve supervised learning tasks, where only a bag of multiple instances is labeled, instead of a single instance.
Peipei Wang +3 more
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From Lab to Life: Self‐Powered Sweat Sensors and Their Future in Personal Health Monitoring
Advanced Science, EarlyView.This review focuses on recent advances in self‐powered sweat sensors in personal health monitoring, including sweat sensors, energy harvesters, energy management, and their applications. It analyzes the difficulties and challenges in the research field of self‐powered sweat sensors and looks into the future direction of self‐powered sweat sensors from ...
Nan Gao +3 more
wiley +1 more source