Results 131 to 140 of about 355,423 (297)
Calibration‐Free Electromyography Motor Intent Decoding Using Large‐Scale Supervised Pretraining
Calibration‐free electromyography motor intent decoding is enabled through large‐scale supervised pretraining across heterogeneous datasets. A Spatially Aware Feature‐learning Transformer processes variable channel counts and electrode geometries, allowing transfer across users and recording setups. On a held‐out benchmark, fine‐tuned cross‐user models
Alexander E. Olsson +3 more
wiley +1 more source
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
THE ROLE OF DATA ARCHITECTURE AS A PART OF ENTERPRISE ARCHITECTURE [PDF]
In the early days of computing, technology simply automated manual processes with greater efficiency. The new organizational context provides input into the data architecture and is the primary tool for the management and sharing of enterprise data.
Assoc. Prof. Anca Mehedintu Ph. D +2 more
core
Perancangan Enterprise Architecture Berbasis Service Menggunakan Zachman Framework: Studi Kasus PDAM Kota Sukabumi [PDF]
Sebagai Perusahaan, PDAM bertanggung jawab memberikan pelayanan yang baik kepada pelanggan. Proses pelayanan pelanggan mencakup registrasi pelanggan, pencatatan angka meter, pengaduan pelanggan, pengajuan Perubahan pelanggan, pembayaran rekening ...
Hadiana, A. (Ana), Rahayu, S. (Samirah)
core
This study presents a novel framework that enhances the reliability of DNS traffic monitoring using a hybrid long short‐term memory‐deep neural network (LSMT‐DNN) architecture, enabling robust detection of adversarial DNS tunneling. The proposed framework leverages feature extraction from DNS traffic patterns, including domain request sequences, query ...
Ahmad Almadhor +5 more
wiley +1 more source
OntoLogX is an autonomous AI agent that uses large language models to transform unstructured cyber security logs into ontology grounded knowledge graphs. By integrating retrieval augmented generation, iterative correction, and a light‐weight log ontology, OntoLogX produces semantically consistent intelligence that links raw log events to MITRE ATT & CK
Luca Cotti +4 more
wiley +1 more source
ResearchConnect is an AI‐powered platform that automates researcher profiling, interdisciplinary team formation, and early‐stage research ideation. By extracting keywords from papers and web sources, it quickly clusters researchers into coherent teams and generates collaborative ideas using large language models. Validation on NSF‐funded projects shows
Akshay Vilas Jadhav +2 more
wiley +1 more source
Towards Advanced Intelligent and Perceptive Soft Grippers
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim +4 more
wiley +1 more source
MOF‐CAPodes are introduced by pairing various p‐MOFs with an n‐MOF as electrode materials in a battery‐like assembly. The devices achieve high figures of merit (RRI = 23.5; RRII = 94.4%) and perform excellently in prototypical logic gates (AND, OR) highlighting a new direction for ionological systems based on electroactive MOFs.
Tim Engelhardt +9 more
wiley +2 more sources
This paper presents the deformable attention multiscale feature fusion network‐dehaze adaptive image dehazing network, which integrates three core modules (revised residual shrinkage unit, multiscale attention, cross‐scale feature fusion). It incorporates deformable convolution and multiscale attention mechanisms to address the detail loss issue of ...
Ruipeng Wang +4 more
wiley +1 more source

