Results 71 to 80 of about 2,097 (259)

DigiChrom: A Domain Ontology for Semantic Representation of Trivalent Chromium Platings and Its Large Language Model‐Based Alignment With Multiple Mid‐Level Ontologies

Advanced Engineering Materials, EarlyView.
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter, Elena Garcia Trelles, Christoph Schweizer, Thomas Seifert, Christoph Baumer, Mahmoud Elkady, Katja Feige, Daniel Grimme, Edgar Hoffmann, Andreas Waibel, Anke Walter   +10 more
wiley   +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

Machine Learning Framework for Algorithmic Trading

Computer Sciences & Mathematics Forum
Present financial markets are characterized by great volatility and nonlinear dynamics since they are driven by both quantitative forces and qualitative mood. Traditional trading practices cannot capture such nuance.
Krishnamurthy Nayak, Supreetha Balavalikar Shivaram, Sumukha K. Nayak   +2 more
doaj   +1 more source

The Impact of AI Software on Financial Transactions [PDF]

SHS Web of Conferences
The rapid advancement of artificial intelligence (AI) has profoundly transformed financial trading, enhanced efficiency, accuracy, and customer service while introducing new challenges.
Li Boyang
doaj   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Algorithmic Trading Using Double Deep Q-Networks and Sentiment Analysis

Information
In this work, we explore the application of deep reinforcement learning (DRL) to algorithmic trading. While algorithmic trading is focused on using computer algorithms to automate a predefined trading strategy, in this work, we train a Double Deep Q ...
Leon Tabaro, Jean Marie Vianney Kinani, Alberto Jorge Rosales-Silva, Julio César Salgado-Ramírez, Dante Mújica-Vargas, Ponciano Jorge Escamilla-Ambrosio, Eduardo Ramos-Díaz   +6 more
doaj   +1 more source

Trading Fragmentation Methodology to Reduce the Capital Exposure with Algorithmic Trading [PDF]

Database Systems Journal, 2019
This paper presents a practical methodology to reduce the capital exposure by early exits from the financial markets using algorithmic trading. The method called trading fragmentation uses several automated trading software applied on more unrelated ...
Cristian PAUNA
doaj  

Algorithmic and high-frequency trading in Borsa Istanbul

Borsa Istanbul Review, 2016
This paper investigates the levels of algorithmic trading (AT) and high-frequency trading (HFT) in an emerging market, Borsa Istanbul (BIST), utilizing a dataset of 354 trading days between January 2013 and May 2014.
Oguz Ersan, Cumhur Ekinci
doaj   +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

Algorithmic crypto trading using information-driven bars, triple barrier labeling and deep learning

Financial Innovation
This paper investigates the optimization of data sampling and target labeling techniques to enhance algorithmic trading strategies in cryptocurrency markets, focusing on Bitcoin (BTC) and Ethereum (ETH).
Przemysław Grądzki, Piotr Wójcik, Stefan Lessmann   +2 more
doaj   +1 more source