Re-Imagining a 'We' Beyond the Gathering of Reductions by Lila Athanasiadou, Goda Klumbyte, Antoinette Rouvroy

Get full text

Multi-Scale Feature Fusion and Context-Enhanced Spatial Sparse Convolution Single-Shot Detector for Unmanned Aerial Vehicle Image Object Detection by Guimei Qi, Zhihong Yu, Jian Song

“…., VisDrone and ARH2000; the latter dataset was created by the researchers) demonstrate that the MFFCESSC-SSD remarkably outperforms the performance of the SSD and numerous conventional object detection algorithms in terms of accuracy and efficiency.…”
Get full text

Machine learning driven digital twin model of Li-ion batteries in electric vehicles: a review by Muaaz Bin Kaleem, Wei He, Heng Li

“…Li-ion battery state estimation is one of the most important parts of the implementation of BMS, as it serves an important role in safe and reliable battery operation. Recently, researchers are working on the development of digital twin models to automate and optimize the BMS state estimation process by utilizing machine learning (ML) algorithms and cloud computing. …”
Get full text

Investigating the Enterprise Transition to Digital by N. V. Dneprovskaya

“…These challenges cause the necessity to search for effective ways of managing a big number of channels and entities of interaction, changing its business-model supporting algorithmic interaction, using programs and calculation capacities to work with big data. …”
Get full text

The calcitron: A simple neuron model that implements many learning rules via the calcium control hypothesis. by Toviah Moldwin, Li Shay Azran, Idan Segev

“…Theoretical neuroscientists and machine learning researchers have proposed a variety of learning rules to enable artificial neural networks to effectively perform both supervised and unsupervised learning tasks. …”
Get full text

Role,application and challenges of IoT in smart EV charging management:a review by Tripti Kunj, Kirti Pal

“…Additionally, the paper emphasizes the importance of adaptive algorithms and machine learning models for predictive maintenance and efficient resource allocation. …”
Get full text

Preliminary analysis of acoustic detection of the Red-throated Caracara in northern Costa Rica by Roberto Vargas-Masís, Diego Quesada

“…Advances in automatic acoustic detection have transformed bird ecology, allowing researchers to analyze bird populations using pattern matching algorithms, machine learning, and random forest models. …”
Get full text

AzSLD: Azerbaijani sign language dataset for fingerspelling, word, and sentence translation with baseline softwareZenodo by Nigar Alishzade, Jamaladdin Hasanov

“…This approach enables robust training and evaluation of gesture recognition algorithms. The dataset comprises 30,000 meticulously annotated videos, each labeled with precise gesture identifiers and corresponding linguistic translations. …”
Get full text

An Efficient Design of DCT Approximation Based on Quantum Dot Cellular Automata (QCA) Technology by Ismail Gassoumi, Lamjed Touil, Bouraoui Ouni, Abdellatif Mtibaa

“…The DCT is considered to be one of the most essential techniques in image and video compression systems, and consequently a number of extensive works had been carried out by researchers on the power optimization. On the other hand, quantum-dot cellular automata (QCA) can present a novel opportunity for the design of highly parallel architectures and algorithms for improving the performance of image and video processing systems. …”
Get full text

H-DSAE: a hybrid technique to recognize heart disease by K. Uma Maheswari, A. Valarmathi

“…Due to the complexity of the task, the researchers decided to use deep learning methods to perform the heart disease classification task. …”
Get full text

A Survey on the Deep Learning-Based Mismatch Removal: Principles and Methods by Shiyu Chen, Cailong Deng, Yong Zhang, Yong Wang, Qixin Zhang, Zhimin Zhou

“…Researchers have published numerous reviews on mismatch removal, which may suffer from two primary deficiencies. …”
Get full text

Artificial Intelligence and Nature-Inspired Techniques on Optimal Biodiesel Production: A Review—Recent Trends by Christos Kyriklidis, Aikaterini Koutouvou, Konstantinos Moustakas, Vayos Karayannis, Constantinos Tsanaktsidis

“…Energy requirements increase continuously, and fossil fuel overuse pollutes the environment extremely. The researchers turned their attention to alternative solutions, such as renewable sources of fuels, which reduce negative emissions. …”
Get full text

Advances in Interface Circuits for Self-Powered Piezoelectric Energy Harvesting Systems: A Comprehensive Review by Abdallah Al Ghazi, Achour Ouslimani, Abed-Elhak Kasbari

“…Additionally, it provides detailed insights into advanced design strategies, including adaptive power management algorithms, low-power control techniques, and complex impedance matching. …”
Get full text

An Innovative Analysis of Time Series-Based Detection Models for Improved Cancer Detection in Modern Healthcare Environments by Uma Shankari Srinivasan, Venkat Pavithra, Kaliappan Sutha, Sridevi Ramachandiran, Nallathambi Indumathi

“…Technological advances have enabled researchers to develop more precise and reliable methods of cancer detection that go beyond traditional methods, such as biopsy and imaging. …”
Get full text

Eco-efficient industrial processes: Leveraging ai-powered management for reduced environmental footprint by Mombekova Sandugash, Akhmetova Sabira, Shaimerdenova Guldana, Alisheva Sandugash, Mussirepova Elmira, Kydyrbekova Aizat, Torebay Nursaule

“…Artificial intelligence is the ability of artificial intelligence to perform actions that were previously only accessible to the human brain. Its algorithms work with data on the basis that tools perform tasks and solve named tasks. …”
Get full text

Diagnosis and detection of bone fracture in radiographic images using deep learning approaches by Theyazn Aldhyani, Zeyad A. T. Ahmed, Bayan M. Alsharbi, Sultan Ahmad, Sultan Ahmad, Mosleh Hmoud Al-Adhaileh, Ahmed Hassan Kamal, Mohammed Almaiah, Jabeen Nazeer

“…In response to this challenge, researchers have turned to deep-learning (DL) algorithms. …”
Get full text

Validation of an Open-Source Smartwatch for Continuous Monitoring of Physical Activity and Heart Rate in Adults by Nicholas Ravanelli, KarLee Lefebvre, Amy Brough, Simon Paquette, Wei Lin

“…Consumer-grade wrist-based wearable devices have grown in popularity among researchers to continuously collect metrics such as physical activity and heart rate. …”
Get full text

Simulation modelling of single nucleotide genetic polymorphisms by Николай Николаевич Яцков, Владимир Владимирович Апанасович, Василий Викторович Гринев

Get full text

Use of Data Mining for Intelligent Evaluation of Imputation Methods by David Red, Carlos R. Primorac

“…In real-world situations, researchers frequently face the difficulty of missing values (MV), i.e., values not observed in a data set. …”
Get full text

Spatiotemporal Analysis of Global In-stream Phosphorus Concentrations from 2012 to 2021 by Razi Sheikholeslami, Mehrnoush Jalali, Sara Vahab

“…To achieve this, data from various sources such as GEMStat, WATERBASE, WQP, and CESI were aggregated, integrated, and standardized using machine learning algorithms into a comprehensive database named GloPhos. …”
Get full text