A hybrid deep learning model approach for automated detection and classification of cassava leaf diseases by G. Sambasivam, G. Prabu kanna, Munesh Singh Chauhan, Prem Raja, Yogesh Kumar

“…The novelty of the hybrid model lies in its ability to combine DenseNet169’s feature reuse capability with EfficientNetB0’s computational efficiency, resulting in improved accuracy and scalability. …”
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An Intelligent Crow Search Optimization and Bi-GRU for Forest Fire Detection System Using Internet of Things by Syed Abdul Moeed, Bellam Surendra Babu, M. Sreevani, B. V. Devendra Rao, R. Raja Kumar and Gouse Baig Mohammed

“…The proposed work involves object detection, which is facilitated by EfficientDet, a state-of-the-art object detection model known for its accuracy and efficiency. …”
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Cow Math—Using Weaning Weight to Estimate Cowherd Productivity by Phillip Lancaster, John Arthington

“… “You can’t get where you’re going unless you know where you are.” The ability to measure performance is a key component in all beef cow operations, and measuring production efficiency is becoming increasingly important. …”
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L’espace 3D : de la photogrammétrie à la lasergrammétrie by Michel Maumont

“…Considering the two techniques that are mostly used toady, photogrammetry and lasergrammetry, it is necessary to assess their ability to render accurate measurements and to virtually reproduce the reality. …”
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Hybridization of a hidden Markov model using Elman neural network with application by Omar Qasim

“…This research aims to improve the performance of the work of hidden Markov model, which is limited to the positive integers as input, and through the use of Elman artificial neural network that have the ability to accept all types of data in the input space. …”
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Advancing medical question answering with a knowledge embedding transformer. by Xiang Zhu, Mustaqeem Khan, Abdelmalik Taleb-Ahmed, Alice Othmani

“…Efficient medical question answering is essential for better patient care. …”
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Control centrality and hierarchical structure in complex networks. by Yang-Yu Liu, Jean-Jacques Slotine, Albert-László Barabási

“…We introduce the concept of control centrality to quantify the ability of a single node to control a directed weighted network. …”
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Microalgae-Assisted Microbial Fuel Cell for Treatment of Difficult Waste Streams by Paulina Rusanowska, Marcin Dębowski, Marcin Zieliński

“…Microalgae microbial fuel cells (pMFCs) are distinguished by their ability to combine waste utilization with the simultaneous recovery of energy and valuable materials. …”
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Trainable embedding quantum physics informed neural networks for solving nonlinear PDEs by Stefan Berger, Norbert Hosters, Matthias Möller

“…In direct comparison with classical PINNs, this approach showed an ability to achieve superior results while using the same number of parameters, highlighting their potential for more efficient optimization in high-dimensional parameter spaces, which could be transformative for future applications.…”
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A Feature Selection Method by using Chaotic Cuckoo Search Optimization Algorithm with Elitist Preservation and Uniform Mutation for Data Classification by Le Wang, Yuelin Gao, Jiahang Li, Xiaofeng Wang

“…In this paper, we propose an efficient feature selection method based on the cuckoo search algorithm called CBCSEM. …”
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Combining Tools to Design and Develop Software Support for Capabilities by Martin Henkel, Christina Stratigaki, Janis Stirna, Pericles Loucopoulos, Yannis Zorgios, Antonis Migiakis

“…Analyzing, designing and implementing software systems based on the concept of capabilities have several benefits, such as the ability to design efficient monitoring of capabilities and their execution context. …”
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Right to complain: should Norway be following an appeal scheme more in line with its Scandinavian neighbors for written exams in higher education? by Jon Tømmerås Selvik, Eirik Bjorheim Abrahamsen, Pattamawan Jimarkon, Timothy James Marshall

“…One aspect is the ability to make the case as well-informed as possible. …”
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A Trusted Federated Learning Method Based on Consortium Blockchain by Xiaojun Yin, Xijun Wu, Xinming Zhang

“…Federated learning (FL) has gained significant attention in distributed machine learning due to its ability to protect data privacy while enabling model training across decentralized data sources. …”
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A Distributed Task Allocation Strategy for Collaborative Applications in Cluster-Based Wireless Sensor Networks by Feng Wang, Guangjie Han, Jinfang Jiang, Hao Qiu

“…Based on the service abilities of cluster members, the service ability of each cluster is calculated. …”
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ML-Based Materials Evaluation in 3D Printing by Izabela Rojek, Dariusz Mikołajewski, Krzysztof Galas, Jakub Kopowski

“…Machine learning (ML) is transforming the evaluation of 3D printing materials, enabling more efficient and accurate assessment of material properties, including their sustainable life cycle. …”
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GenSDF: An MPI-Fortran based signed-distance-field generator for computational fluid dynamics applications by Akshay Patil, Udhaya Chandiran Krishnan Paranjothi, Clara García-Sánchez

“…This paper presents a highly efficient signed-distance field (SDF) generator designed specifically for computational fluid dynamics (CFD) workflows. …”
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Agrobacterium-mediated transient transformation of Flaveria bidentis leaves: a novel method to examine the evolution of C4 photosynthesis by Christopher J. Baros, Jeremy Beerkens, Martha Ludwig

“…However, this technique has not been applied to the genus Flaveria. Here, an efficient protocol for the Agrobacterium-mediated transient transformation of the leaves of the C4 species Flaveria bidentis is presented. …”
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Wavelet attention-based implicit multi-granularity super-resolution network by Chen Boying, Shi Jie

“…Secondly, local implicit features are introduced to enhance the encoder’s ability to aggregate local neighborhood features. …”
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A Robust Method for Validating Orientation Sensors Using a Robot Arm as a High-Precision Reference by József Kuti, Tamás Piricz, Péter Galambos

“…This paper presents a robust and efficient method for validating the accuracy of orientation sensors commonly used in practical applications, leveraging measurements from a commercial robotic manipulator as a high-precision reference. …”
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WaveConv-sLSTM-KET: A Novel Framework for the Multi-Task Analysis of Oil Spill Fluorescence Spectra by Shubo Zhang, Menghan Li, Jing Li

“…The frequent occurrence of marine oil spills underscores the need for efficient methods to identify spilled substances and analyze their thickness. …”
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