Results 41 to 50 of about 37,010 (319)

Compiler Compiler Facilities in Atlas Autocode [PDF]

The Computer Journal, 1967
As we have demonstrated in another paper in this issue (see page 345), the Compiler Compiler has proven itself to be a very useful tool in writing compilers. As we came to use it for more general data-processing tasks, the lack of any comprehensive arithmetic facilities became a limitation.
R. A. Brooker, Derrick Morris, Jeffrey S. Rohl   +2 more
openaire   +2 more sources

Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery

Advanced Functional Materials, EarlyView.
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer, Min Jiang, Adrian Kromer, Anny Nguyen, Müge Molbay, Simone Pinto Carneiro, David Jürgens, Gerald Burgstaller, Bastian Popper, Benjamin Winkeljann, Olivia Monika Merkel   +10 more
wiley   +1 more source

An Innovation Study on Luggage Wheel Design for Seamless Travel

Compiler
In this paper, a new suitcase study that will enable people to travel comfortably in every aspect is emphasized, and prototype examples are handled. This study reveals the latest innovations in suitcase design aimed at improving travel efficiency and ...
Abdullah Kurudirek, Melek Azra Kurudirek, Kadriye Afra Kurudirek   +2 more
doaj   +1 more source

Copper‐based Materials for Photo and Electrocatalytic Process: Advancing Renewable Energy and Environmental Applications

Advanced Functional Materials, EarlyView.
Cu‐based catalysts as a cornerstone in advancing sustainable energy technologies are fully reviewed in this manuscript, highlighting their potential in photo‐ and electrocatalysis. It includes metallic copper, copper oxides, copper sulfides, copper halide perovskites, copper‐based metal–organic frameworks (MOFs), and covalent organic frameworks (COFs),
Jéssica C. de Almeida, Yanjie Wang, Thais A. Rodrigues, Paulo H. H. Nunes, Vagner R. de Mendonça, Paulo H. E. Falsetti, Leticia V. Savazi, Tao He, Alexandra V. Bardakova, Aida V. Rudakova, Jie Tian, Alexei V. Emeline, Osmando F. Lopes, Antonio Otavio T. Patrocínio, Jia Hong Pan, Caue Ribeiro, Detlef W. Bahnemann   +16 more
wiley   +1 more source

On the Chromatic Number of Cycle Books Graph

Compiler
Graph coloring is a fundamental topic in graph theory, with various applications in scheduling, networking, and optimization problems. In this study, we investigate the chromatic number of the cycle books graph , a structured graph formed by attaching ...
Jaya Santoso
doaj   +1 more source

Green Solvent Enabled Perovskite Ink for Ambient‐Air‐Processed Efficient Inkjet‐Printed Perovskite Solar Cells

Advanced Functional Materials, EarlyView.
This study explores an eco‐friendly solvent with 1,3‐dimethyl‐2‐imidazolidinone for developing perovskite ink, enhancing grain size and formation of purer phase perovskite. The inkjet‐printed perovskite solar cells demonstrated a remarkable improvement in device power conversion efficiency from 14.6% to almost 17.8%, highlighting sustainable innovation
Vinayak Vitthal Satale, Sagnik Chowdhury, Asmaa Mohamed, Do‐Hyung Kim, Sinyoung Cho, Jong‐Soo Lee, Jae‐Wook Kang   +6 more
wiley   +1 more source

Automated Testing to Evaluate Employee Attendance System Performance Using Gtmetrix

Compiler
The employee attendance system is an important component in human resource management that functions to efficiently record and monitor employee attendance.
Nurul Hafizhah, Ahmad Tri Hidayat
doaj   +1 more source

Machine Learning Guided Design of Nerve‐On‐A‐Chip Platforms with Promoted Neurite Outgrowth

Advanced Functional Materials, EarlyView.
Compared to labor‐intensive trial‐and‐error experimentation, a machine learning (ML)‐guided workflow, incorporating cell viability assays, data augmentation, ensemble modeling, and model interpretation, is developed to accelerate nerve‐on‐a‐chip optimization and uncover data‐driven design principles.
Tsai‐Chun Chung, Chu‐Chun Liang, Min‐Wei Huang, Tianle Chen, Joshua M. Little, Snehi Shrestha, Yi‐Chen Ethan Li, I‐Chi Lee, Po‐Yen Chen   +8 more
wiley   +1 more source

Compiler Verification and Compiler Architecture

Electronic Notes in Theoretical Computer Science, 2002
AbstractWe study issues in verifying compilers for modern imperative and object-oriented languages. We take the view that it is not the compiler but the code generated by it which must be correct. It is this subtle difference that allows for reusing standard compiler architecture, construction methods and tools also in a verifying compiler.Program ...
openaire   +2 more sources

Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

Advanced Functional Materials, EarlyView.
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto, Sergey Dayneko, Antoine Pavesic Junior, Nicholas Sandor, Alexander Hart, Yuki Haruta, Magdalena Bazalova‐Carter, Marcos J. L. Santos, Makhsud I. Saidaminov   +8 more
wiley   +1 more source