Results 131 to 140 of about 3,766 (244)

Barcode activity in a recurrent network model of the hippocampus enables efficient memory binding. [PDF]

Elife
Fang C, Lindsey JW, Abbott LF, Aronov D, Chettih SN.   +4 more
europepmc   +1 more source

On Making Informed Decisions Regarding Clustering Event Logs in Process Discovery

Expert Systems, Volume 43, Issue 8, August 2026.
ABSTRACT Process discovery is intended to machine‐learn process models by analysing event logs that record how real processes work. The resulting models tend to be complex because they must account for all the variability in the event logs. It is agreed that clustering the input event log prior to discovery may result in better models.
Belén Ramos‐Gutiérrez, Ana Lavalle, Rafael Corchuelo, Alejandro Maté, Juan C. Trujillo, María Teresa Gómez‐López   +5 more
wiley   +1 more source

Evaluating the Risk Assessment: Determining Insights and Challenges of Climate Risk Prediction Using Supervised Technology

Natural Resource Modeling, Volume 39, Issue 3, August 2026.
ABSTRACT In a world of expanding urbanization, which causes climate change and has adverse impacts and risks, our research introduces an intuitive and user‐friendly dashboard named Climate Risk Mitigation Dashboard (CRMD) to address these challenges sustainably.
Ritu Chauhan, Mehak Jena, Aarushi Mishra, Harleen Kaur, Bhavya Alankar   +4 more
wiley   +1 more source

Minimization of outage probability and energy consumption by deep learning-based prediction in D2D mm wave communication. [PDF]

Sci Rep
Bilal NM, Velmurugan T.
europepmc   +1 more source

An Optimal Edge Data Caching Scheme Based on Improved Particle Swarm Optimization

Concurrency and Computation: Practice and Experience, Volume 38, Issue 13, July 2026.
ABSTRACT Mobile Edge Computing (MEC) alleviates the performance bottlenecks of traditional cloud computing in latency‐sensitive scenarios by moving computational resources to network edge nodes. In recent years, numerous research efforts have focused on developing edge data caching (EDC) strategies that enable app vendors to enhance caching performance
Wenqi Niu, Cun Ji, Tingting Li, Bo Li
wiley   +1 more source

Efficient Caching Strategies in NDN-Enabled IoT Networks: Strategies, Constraints, and Future Directions. [PDF]

Sensors (Basel)
Alahmad AA, Mohd Aman AH, Qamar F, Mardini W.   +3 more
europepmc   +1 more source

FuzzyMind: A Web Platform for End‐to‐End Fuzzy Cognitive Map Modeling

Concurrency and Computation: Practice and Experience, Volume 38, Issue 14, July 2026.
ABSTRACT Fuzzy cognitive maps (FCMs) are widely used for modeling complex causal systems under uncertainty. However, the FCM development lifecycle, encompassing data preprocessing, model construction, weight optimization, and scenario analysis, is typically fragmented across heterogeneous tools.
Theodoros Tziolas, Elpiniki Papageorgiou
wiley   +1 more source

DT-aided resource allocation via generative adversarial imitation learning in complex cloud-edge-end scenarios. [PDF]

Sci Rep
Zhang X, Xin M, Li Y, Fu Q.
europepmc   +1 more source

Fuzzy relationships among plant dispersal mechanisms, syndromes, and animal vectors

Ecology, Volume 107, Issue 7, July 2026.
Abstract Knowledge of which animal clades and dispersal mechanisms contribute to seed dispersal is critical for understanding the ecology and evolution of plant communities. However, a broad understanding is limited by a focus on single clades and mechanisms. Here, we analyzed a Europe‐wide multi‐clade seed dispersal dataset with interactions among 447
Casper H. A. van Leeuwen, Ruben Heleno, Andy J. Green, Esther Sebastián‐González, José Miguel Costa, Christophe Baltzinger, Evan Fricke, Ádám Lovas‐Kiss, Irene Castañeda, Isabel Donoso, Alistair G. Auffret, Sara B. Mendes   +11 more
wiley   +1 more source

An Adaptive Blockchain Framework for Federated IoMT with Reinforcement Learning-Based Consensus and Resource Forecasting. [PDF]

Sci Rep
Murthy CHVNUB, Shri ML.
europepmc   +1 more source