Results 61 to 70 of about 6,804 (214)

Formal concept views for explainable boosting: A lattice-theoretic framework for Extreme Gradient Boosting and Gradient Boosting Models

Intelligent Systems with Applications
Tree-based ensemble methods, such as Extreme Gradient Boosting (XGBoost) and Gradient Boosting models (GBM), are widely used for supervised learning due to their strong predictive capabilities.
Sherif Eneye Shuaib, Pakwan Riyapan, Jirapond Muangprathub   +2 more
doaj   +1 more source

Extrusion‐Based Additive Manufacturing of Advanced Ceramics: Strengthening Mechanisms and Process Optimization Review

Advanced Engineering Materials, EarlyView.
This review comprehensively evaluates extrusion‐based additive manufacturing for advanced ceramics, detailing feedstock options and key process parameters. By critically addressing defect mechanisms like porosity and cracking, the work highlights optimization strategies through machine learning and advanced postprocessing.
Meisam Bakhtiari, Mohammad Hadi Sheikh‐Ansari, Avinash Borgaonkar, Mehran Dadkhah, Abdollah Saboori   +4 more
wiley   +1 more source

Receptor‐Free Identification of Toxic Gases Enabled by Hygroscopic Aqueous Salt Films

Advanced Functional Materials, EarlyView.
Water as a gas sensor coating sounds impossible—until it stops evaporating. Here, hygroscopic salt solutions (LiCl, LiBr, H3PO4) form non‐drying aqueous films on CNT chemiresistors under ambient air. Gases partition into these liquid layers, sometimes transforming into water, and generate salt‐specific resistance fingerprints across a four‐channel ...
Seongwoo Lee, Yun‐Tae Kim, Hwarang Choi, Sanghwan Park, Seongyeop Lim, Chang Young Lee   +5 more
wiley   +1 more source

Identity-Based Provable Data Possession with Designated Verifier from Lattices for Cloud Computing

Entropy
Provable data possession (PDP) is a technique that enables the verification of data integrity in cloud storage without the need to download the data. PDP schemes are generally categorized into public and private verification.
Mengdi Zhao, Huiyan Chen
doaj   +1 more source

Implantable Ionic Memristors Based on Natural Polymer Heterojunctions

Advanced Functional Materials, EarlyView.
We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee, Byung Ik Park, Gihyeon Yim, Hyunjae Yoo, Sangjun Ma, Jundong Park, Jeong‐Yun Sun   +6 more
wiley   +1 more source

High-Efficiency Multi-Standard Polynomial Multiplication Accelerator on RISC-V SoC for Post-Quantum Cryptography

IEEE Access
Number Theoretic Transform (NTT) enables speeding up polynomial multiplications, thereby accelerating the implementation of lattice-based post-quantum cryptography (PQC) algorithms.
Duc-Thuan Dam, Trong-Hung Nguyen, Thai-Ha Tran, Duc-Hung Le, Trong-Thuc Hoang, Cong-Kha Pham   +5 more
doaj   +1 more source

From Geometry to Function: Programmable Mechanical Response in 3D‐Printed Adipose‐Inspired Soft Metamaterials

Advanced Functional Materials, EarlyView.
Geometry‐driven design of soft cellular metamaterials is systematically investigated by combining experiments, finite element modeling, and statistical prediction. The study quantifies how unit cell geometry and material properties govern stiffness, instability, densification, and energy absorption.
Alice Berardo, Gianmarco Dolino, Damiano Coato, Paolo Gargiulo, Emanuele Luigi Carniel   +4 more
wiley   +1 more source

Si‐Doped Nanocrystalline Diamond as Highly Sensitive Luminescence Thermometer for the Physiological Temperature Range

Advanced Functional Materials, EarlyView.
In this work, diamonds with negative charged silicon‐vacancy (SiV−) centers have been designed for use as thermometers in biomedical applications. Multiparametric analysis of the emission characteristics of the SiV− centers provides extraordinary sensitivity for temperature detection in the physiological temperature range.
María Gragera, Iván Carrillo‐Berdugo, Josue Millán, Paulius Pobedinskas, Antonio Freire, Ken Haenen, Javier Navas   +6 more
wiley   +1 more source

Catalytically Enhanced Near Room‐Temperature Hydrogen Sensing Using Pd‐ZnO Colloidal Crystals

Advanced Functional Materials, EarlyView.
Pd‐decorated ZnO colloidal crystal monolayers demonstrate excellent performance across a wide hydrogen concentration range at 33°C, with high selectivity and reproducible device fabrication. The sensors show strong responses even at low‐ppm H2 concentrations and an ultra‐low detection limit of 82 ppb, indicating their suitability for diverse hydrogen ...
Hamidah Alluhaybi, Samuel J. Ippolito, Chung Kim Nguyen, Durairaj Mahendiran, Michelle J. S. Spencer, Edwin L. H. Mayes, Billy James Murdoch, Jason Choi, Shamali De Silva, James Tardio, Adrian Trinchi, Ahmad E. Kandjani, Mohammad Al Kobaisi, Ylias Sabri   +13 more
wiley   +1 more source

Optimizing passenger group vehicle assignment in ride sharing systems using greatest common divisor approach

Discover Analytics
With rising urban populations, optimizing passenger group-to-vehicle allocation (PGVA) is critical for enhancing ride-sharing efficiency, particularly when integrated with transit networks.
Emmanuel Kofi Gbey, Charles Atombo
doaj   +1 more source