Monitoring landings in data-scarce fisheries is hampered by short, noisy series and multi-year reporting gaps. We benchmark Echo State Networks (ESNs) against SARIMA, LightGBM, and LSTM models and against naïve and seasonal-naïve persistence, for one-step-ahead forecasting of the monthly landings (1993–2023) of the sha...
Diego Restrepo-Leal, Mario C. Cruz-Mercado, Jairo Altamar et al.· Applied Sciences· 0 citations
Background . The growing availability of large prokaryotic genomic datasets presents an opportunity to discover new metabolic pathways and enzymatic reactions useful for industrial or synthetic biological applications. Efforts to identify new enzyme functions in this vast number of sequences cannot be achieved without...
Mark Stam, Jordan Langlois, Céline Chevalier et al.· Peer Community Journal· 0 citations
Abstract
AI-native sixth-generation (6G) infrastructure will increasingly execute network, commercial and public-service actions through autonomous agents distributed across terminals, edges and clouds. Yet a conventional digital signature can authenticate a message without proving that the message was produced under a...
Murali Krishna Pasupuleti· International Journal of Aca...· 0 citations
Every finite bipartite simple graph occurs as a vertex-induced unrooted subgraph of the principal graph of an irreducible finite-depth inclusion of hyperfinite type II1 factors. For part sizes m and n, an explicit neighborhood-multiplicity parameter q gives index q3^n, with q at most m+1, and depth at most four. The se...
Alper Ferudun· Zenodo (CERN European Organi...· 0 citations
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Abstract This dataset and software repository presents the formal implementation and theoretical framework of the Slot-Based Technical Taxonomy Model (N-Slot Engine). Evolving from a baseline 3-slot architecture (Header + Core + Modifier), this framework introduces deterministic 6-slot and 9-slot positional grammar sch...
Donald Sobaski· Zenodo (CERN European Organi...· 0 citations
Abstract This dataset and software repository presents the formal implementation and theoretical framework of the Slot-Based Technical Taxonomy Model (N-Slot Engine). Evolving from a baseline 3-slot architecture (Header + Core + Modifier), this framework introduces deterministic 6-slot and 9-slot positional grammar sch...
Donald Sobaski· Zenodo (CERN European Organi...· 0 citations
Every finite bipartite simple graph occurs as a vertex-induced unrooted subgraph of the principal graph of an irreducible finite-depth inclusion of hyperfinite type II1 factors. For part sizes m and n, an explicit neighborhood-multiplicity parameter q gives index q3^n, with q at most m+1, and depth at most four. The se...
Alper Ferudun· Zenodo (CERN European Organi...· 0 citations
To address governance bottlenecks such as data silos and fragmented monitoring in the implementation of the "Ten Networks" strategy in Xinjiang's Kezhou Prefecture, and to facilitate digital transformation in border regions, this paper conducts research on multi-network data integration, geographic information mapping,...
The convergence of artificial intelligence (AI) and the Internet of Things (IoT) is increasing interest in how intelligence is distributed across cloud, edge, fog, and device layers. This study maps the 2020-2026 development of cloud-linked AI-IoT research using Scopus metadata. The reported Scopus query required AI or...
Osman Diriye Hussein, Adam Muhudin, Mohamed Abdirahman Addow et al.· Zenodo (CERN European Organi...· 0 citations
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 2, 2026