Unveiling innovation imperatives in agriculture: A data-driven framework for identifying latent needs and regional priorities by Andrea Bonfiglio

“…This paper outlines a methodology designed to identify latent innovation needs at regional, sectoral, and dimensional levels. …”
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Whose Bias is it, Anyway? The Need for a Four-Eyes Principle in AI-Driven Competion Law Proceedings by Jerome De Cooman

“…Cognitive biases. – II.2. Noise. – II.3. Bias and noise in competition law procedure. – III. …”
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Modern information and communication technologies in professional training of sociology students: Evolving needs and significance in the digital age by Liudmila V. Kalashnikova, Alla S. Lobanova, Iryna V. Hrabovets, Liudmila S. Chernous, Viktoria A. Chorna, Yevhen O. Davydenko

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Advances in the Automated Identification of Individual Tree Species: A Systematic Review of Drone- and AI-Based Methods in Forest Environments by Ricardo Abreu-Dias, Juan M. Santos-Gago, Fernando Martín-Rodríguez, Luis M. Álvarez-Sabucedo

“…Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, peer review studies from the last decade were analyzed to identify trends in data acquisition instruments (e.g., RGB, multispectral, hyperspectral, LiDAR), preprocessing techniques, segmentation approaches, and machine learning (ML) algorithms used for classification. Findings of this study reveal that deep learning (DL) models, particularly convolutional neural networks (CNN), are increasingly replacing traditional ML methods such as random forest (RF) or support vector machines (SVMs) because there is no need for a feature extraction phase, as this is implicit in the DL models. …”
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Comparing the potential of tree-based and area-based forest height metrics for aboveground biomass estimation in complex forest landscapes by Weiyan Liu, Yuling Chen, Haitao Yang, Guangcai Xu, Shiyu Yan, Lingjun Li, Ling Chen, Qinghua Guo

“…The results indicate the following: (1) Tree-based metrics that align more closely with forestry definitions demonstrate higher predictive accuracy than area-based metrics, particularly Lorey’s mean height and top height. (2) Among machine learning models, CatBoost, which incorporates Lorey’s mean height, achieve the highest accuracy (R2 = 0.688, relative RMSE = 41.85 %, MAE = 18.15 Mg/ha). (3) While area-based metrics are widely used in large-scale assessments due to their scalability, our results underscore the superior precision of tree-based metrics in AGB estimations, showing an 11.0 % to 23.1 % improvement of R2 over the area-based metrics. (4) Regional variations across Beijing further highlight the need to tailor metric selection to specific landscape and modeling objectives. …”
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The Accuracy of the Uganda National Tuberculosis and Leprosy Program diagnostic algorithm and the World Health Organisation treatment decision algorithms for childhood tuberculosis... by Peter J Kitonsa, Bernard Kikaire, Peter Wambi, Annet Nalutaaya, Jascent Nakafeero, Gertrude Nanyonga, Emma Kiconco, Deus Atwiine, Robert Castro, Ernest A Oumo, Hellen T Aanyu, Mary N Mudiope, Ezekiel Mupere, Moorine P Sekadde, Swomitra Mohanty, Adithya Cattamanchi, Eric Wobudeya, Devan Jaganath

“…Further optimization of the algorithms is needed to improve specificity and reduce over-treatment of TB in children.…”
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Novel Metaheuristic Based on Iterated Constructive Stochastic Heuristic: Dhouib-Matrix-3 (DM3) by Souhail Dhouib

“…The proposed metaheuristic DM3 is an iterative algorithm in which every iteration is based on two relay hybridization techniques. …”
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Examining the Efficiency of Learning-Based Algorithms in the Process of Declaring Customs by Mustafa Günerkan, Ender Şahinaslan, Önder Şahınaslan

“…According to the performance measurement results, the maximum result was achieved in the Decision Tree (75.69%) and Bagging (75.70%) algorithms with respect to the Train-test split method at a test rate of 25%. …”
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Correlation-Based Task Scheduling Algorithm in Wireless Sensor Network by Fangfang Yan, Yue Shi, Wei Wei

“…There are some shortages of static scheduling algorithm（SCP）while scheduling tasks in wireless sensor network.A scheduling clustered tree was proposed，and a new clustering algorithm（ICS）based on task duplication was put forward. …”
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Correlation-Based Task Scheduling Algorithm in Wireless Sensor Network by Fangfang Yan, Yue Shi, Wei Wei

“…There are some shortages of static scheduling algorithm（SCP）while scheduling tasks in wireless sensor network.A scheduling clustered tree was proposed，and a new clustering algorithm（ICS）based on task duplication was put forward. …”
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High efficiency algorithm of power and bit allocation for OFDMA system by ZHANG Dong-mei1, XU You-yun1, CAI Yue-ming1

“…A high efficiency algorithm of power and bit allocation for OFDMA system was propose,which including three parts: linear water-filling power allocation,bit allocation and power and bit adjustment. …”
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A Survey on Deployment Algorithms in Underwater Acoustic Sensor Networks by Guangjie Han, Chenyu Zhang, Lei Shu, Ning Sun, Qingwu Li

“…Due to the complex deployment environment in three-dimensional (3D) space and unique characteristics of underwater acoustic channel, many factors need to be considered specifically during the deployment of UASNs. …”
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Metaheuristic Optimization of Agricultural Machinery for the Colombian Carnation Industry by Nixon Cuenca Orozco, Federico Gutiérrez Madrid, Héctor Fabio Quintero

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Optimal View Estimation Algorithm and Evaluation with Deviation Angle Analysis by Meng Yuan, Hongjun Li

“…Image-based viewpoint estimation is one of the tasks in image analysis, and another is the inverse problem of selecting the best viewpoint for displaying a three-dimensional object. Currently, two issues need further exploration in image-based viewpoint estimation research: insufficient labeled data and a limited number of evaluation methods for estimation results. …”
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Grasshopper Algorithmic Modelling: Parametric Design for Product Platform Customisation by Amanda Martín-Mariscal, Juan Francisco Fernández-Rodríguez, Alberto Picardo, Estela Peralta

“…This study analyses the capacity and adaptability of Grasshopper, a graphical algorithm editor integrated with Rhinoceros 3D, as a parametric design tool in the development of product platforms. …”
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Radio Mean Labeling Algorithm, Its Complexity and Existence Results by Meera Saraswathi, K. N. Meera, Yuqing Lin

“…The existing ILP model does not guarantee that the vertex labels are distinct, positive and satisfy the radio mean condition, prompting the need for an improved approach. We propose a new ILP model which involves <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>n</mi><mn>2</mn></msup></semantics></math></inline-formula> constraints is the input graph’s order is <i>n</i>. …”
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An Effective Algorithm for Video-Based Parking and Drop Event Detection by Gang Li, Huansheng Song, Zheng Liao

“…Therefore, this paper proposes an algorithm for detecting parking and dropping objects that uses real three-dimensional information to distinguish the type of target. …”
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Tuning and Comparison of Optimization Algorithms for the Next Best View Problematic by Everardo Shain-Ruvalcaba, Efrain Lopez-Damian

“…The aim of this paper is to tune and compare different optimization algorithms on the Next Best View (NBV) problem, which consists in finding the next position that the sensor or camera needs to take to scan an object or scenery in its totality. …”
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Channel width adaptation algorithm in multi-channel vehicular networks by PENG Xin, LI Ren-fa, LIU Liang-jiao

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A Method for Adapting Stereo Matching Algorithms to Real Environments by Adam L. Kaczmarek

“…This study challenges the commonly used testbeds and benchmarks for testing stereo matching algorithms. Although the algorithms listed in the rankings based on these testbeds score exceptionally high, stereo matching technology still suffers from major drawbacks; as such, it is much less popular in commercial use than other technologies for 3D scanning, such as structured-light 3D scanners. …”
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