Results 41 to 50 of about 12,223 (205)

Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study

open access: yesEnergy Science &Engineering, Volume 14, Issue 2, Page 935-961, February 2026.
Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali   +6 more
wiley   +1 more source

An Enhanced Approach for Intrusion Detection Modeling to Secure IoT Network by Using Big Data Analytics

open access: yesIET Information Security, Volume 2026, Issue 1, 2026.
Since 1980, the arrival of the internet has made fabulous changes, and presently, the Internet of Things (IoT) is having the same track. IoT becomes more attractive due to its potential, but on the other hand, the IoT network is targeted to be demolished.
Ahmad Bilal   +6 more
wiley   +1 more source

Applying MapReduce to Conformance Checking

open access: yesТруды Института системного программирования РАН, 2018
Process mining is a relatively new research field, offering methods of business processes analysis and improvement, which are based on studying their execution history (event logs).
I. S. Shugurov, A. A. Mitsyuk
doaj   +1 more source

On the Computational Complexity of MapReduce [PDF]

open access: yes, 2015
In this paper we study MapReduce computations from a complexity-theoretic perspective. First, we formulate a uniform version of the MRC model of Karloff et al. (2010). We then show that the class of regular languages, and moreover all of sublogarithmic space, lies in constant round MRC. This result also applies to the MPC model of Andoni et al. (2014).
Benjamin Fish   +4 more
openaire   +4 more sources

A Survey: Energy Optimisation Approaches in Urban Rail Systems (AI‐Based and Non‐AI‐Based)

open access: yesIET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This article presents a systematic review of energy optimisation strategies for urban rail systems, covering speed profile, timetable, regenerative braking, energy storage and power‐supply optimisation. We synthesise methodological trends and reported energy‐saving performance across AI‐based and non‐AI approaches.
Cakra Adipura Wicaksana   +2 more
wiley   +1 more source

Cellular automata-based MapReduce design: Migrating a big data processing model from Industry 4.0 to Industry 5.0

open access: yese-Prime: Advances in Electrical Engineering, Electronics and Energy
A successful deployment of Industry 5.0 is significantly dependent on the synergetic integration of several advanced technologies such as big data processing, Artificial Intelligence (AI) integration, and several effective digitization techniques that ...
Arnab Mitra
doaj   +1 more source

Towards a Cost-Efficient MapReduce: Mitigating Power Peaks for Hadoop Clusters

open access: yesTsinghua Science and Technology, 2014
Distributed data processing system is becoming one of the most important components for data-intensive computational tasks in the enterprise software infrastructure.
Nan Zhu, Xue Liu, Jie Liu, Yu Hua
doaj   +1 more source

Deep Web and MapReduce

open access: yesJournal of Computing Science and Engineering, 2013
This invited paper introduces results on Web science and technology obtained during work with the Korea Advanced Institute of Science and Technology. In the first part, we discuss algorithms for exploring the deep Web, which refers to the collection of Web pages that cannot be reached by conventional Web crawlers. In the second part, we discuss sorting
openaire   +4 more sources

MapReduce SVM Game

open access: yesProcedia Computer Science, 2015
AbstractDespite technological advances making computing devices faster, smaller, and more prevalent in today's age, data generation and collection has outpaced data processing capabilities. Simply having more compute platforms does not provide a means of addressing challenging problems in the big data era.
Craig M. Vineyard   +4 more
openaire   +1 more source

Exploring the Power of Machine Learning in Analysing Protein–Protein Sequences

open access: yesIET Systems Biology, Volume 20, Issue 1, January/December 2026.
Figure 2 depicts the structure of a peptide bond formed between amino acids to form a polypeptide chain. ABSTRACT Proteins are fundamental biological macromolecules responsible for regulating nearly all cellular processes, and their functions are largely determined by the underlying amino acid sequences.
Anindya Nag   +8 more
wiley   +1 more source

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