Deep Forest Modeling: An Interpretable Deep Learning Method for Mineral Prospectivity Mapping by Yue‐Lin Dong, Zhen‐Jie Zhang

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Quantum GIS (QGIS): An introduction to a free alternative to more costly GIS platforms by Jeffry M. Flenniken, Steven Stuglik, Basil V. Iannone

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Humans account for cognitive costs when finding shortcuts: An information-theoretic analysis of navigation. by Gian Luca Lancia, Mattia Eluchans, Marco D'Alessandro, Hugo J Spiers, Giovanni Pezzulo

“…When faced with navigating back somewhere we have been before we might either retrace our steps or seek a shorter path. Both choices have costs. Here, we ask whether it is possible to characterize formally the choice of navigational plans as a bounded rational process that trades off the quality of the plan (e.g., its length) and the cognitive cost required to find and implement it. …”
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Online Calibration Method of LiDAR and Camera Based on Fusion of Multi-Scale Cost Volume by Xiaobo Han, Jie Luo, Xiaoxu Wei, Yongsheng Wang

“…The latter is then subjected to feature concatenation and group-wise correlation processing to generate three sets of cost volumes of different scales. …”
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Multi-Robot Cooperative Simultaneous Localization and Mapping Algorithm Based on Sub-Graph Partitioning by Wan Xu, Yanliang Chen, Shijie Liu, Ao Nie, Rupeng Chen

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Satellite imagery for bauxite mine waste mapping in the frame of the m4mining project by E. Kouzeli, K. Nikolakopoulos, O. Sykioti, S. Asadzadeh, F. Koerting, D. Schläpfer

“…Mine wastes, including tailings (the by-products of mineral processing), are subject to weathering, leading to environmental issues. …”
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Improved grey wolf optimization algorithm based service function chain mapping algorithm by Yue ZHANG, Junnan ZHANG, Xiaochun WU, Chen HONG, Jingjing ZHOU

“…With the rise of new Internet applications such as the industrial Internet, the Internet of vehicles, and the metaverse, the network’s requirements for low latency, reliability, security, and certainty are facing severe challenges.In the process of virtual network deployment, when using network function virtualization technology, there were problems such as low service function chain mapping efficiency and high deployment resource overhead.The node activation cost and instantiation cost was jointly considered, an integer linear programming model with the optimization goal of minimizing the average deployment network cost was established, and an improved grey wolf optimization service function chain mapping (IMGWO-SFCM) algorithm was proposed.Three strategies: mapping scheme search based on acyclic KSP algorithm, mapping scheme coding and improvement based on reverse learning and nonlinear convergence were added to the standard grey wolf optimization algorithm to form this algorithm.The global search and local search capabilities were well balanced and the service function chain mapping scheme was quickly determined by IMGWO-SFCM.Compared with the comparison algorithm, IMGWO-SFCM reduces the average deployment network cost by 11.86% while ensuring a higher service function chain request acceptance rate.…”
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Green logistics for fresh produce farming: Barrier analysis and opportunity mapping for retail markets by Maria Chaudhry, Faezeh Karimi, Kaveh Khalilpour

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Advanced Residual Optimal Mapping Approach for Precise Detection of Stator Faults in Induction Motors by Abderrahim Allal, Zakaria Lammouchi, Abderrahmane Khechekhouche, Naoui Mohamed, Khalid Alqunun, Amer Alghadhban, Ismail Marouani, Tawfik Guesmi

“…Experimental results indicate that TH appears to be the most sensitive harmonic for detecting stator faults, with a residual fault detection value of 4.5 A at full load and 5.05 A at half load. Real-time FFT processing of stator current signals, compared to a healthy reference signal, gives rise to the advanced residual optimal mapping (AROMA) approach. …”
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Combining OBIA, CNN, and UAV imagery for automated detection and mapping of individual olive trees by Oumaima Ameslek, Hafida Zahir, Hanane Latifi, El Mostafa Bachaoui

“…However, this task is not as simple as it seems; tree detection and counting can be time consuming, cost-prohibitive and accuracy-limited, especially if performed manually on a large scale.The availability of very high-resolution UAV imagery with remote sensing can make the counting process easier, faster and more precise. …”
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Monitoring water vapor transport in near real-time with low-cost GNSS receiver network by Jizhong Wu, Hongyang Ma, Wei Wu, Dashuai Cheng

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Cost-Efficient RSSI-Based Indoor Proximity Positioning, for Large/Complex Museum Exhibition Spaces by Panos I. Philippopoulos, Kostas N. Koutrakis, Efstathios D. Tsafaras, Evangelia G. Papadopoulou, Dimitrios Sigalas, Nikolaos D. Tselikas, Stefanos Ougiaroglou, Costas Vassilakis

“…RSSI-based proximity positioning is a well-established technique for indoor localization, featuring simplicity and cost-effectiveness, requiring low-price and off-the-shelf hardware. …”
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Mapping IT and Management Challenges in Small and Micro-Businesses: A Path to Digital Maturity in Manufacturing by Csaba Tápler

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Science mapping analysis of challenges surrounding cloud universities and their impact on the resilience of higher education by Svitlana Tarasenko, Anna Vorontsova, Verena Régent, John Soss, Rymma Mylenkova

“…The application of science mapping tools revealed key trends in research development, which evolved from the development and optimization of cloud infrastructure and difficulties of technological usage and the adoption of new technologies by users to the deep integration of various technologies into the educational process, exploring their reception by students and teachers, as well as the effectiveness of these initiatives. …”
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Common Transport Policy of the European Union: a Road Map for the Eurasian Economic Union by Y. V. Pak, T. N. Polyanova

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RobotSLAM: A Lightweight Low-cost 3D LiDAR SLAM Handheld Device by H. Gao, G. Kong, X. Huang, H. Fan, R. Zhong

“…As the importance of Mobile Laser Scanning (MLS) technology in 3D mapping continues to grow, the development of low-cost, portable devices to address the complex mapping needs of various environments has become a key area of research in the industry. …”
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Geostatistical Vegetation Filtering for Rapid UAV-RGB Mapping of Sudden Geomorphological Events in the Mediterranean Areas by María Teresa González-Moreno, Jesús Rodrigo-Comino

“…However, the use of LiDAR (Light Detection and Ranging) or TLS (Terrestrial Lasser Scanner) may not be affordable for many researchers because of the elevated costs and difficulties for cloud processing to present a valuable option for rapid landscape assessment following extreme events like Mediterranean storms. …”
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A Color Image Encryption Scheme Based on a Novel 3D Chaotic Mapping by Chunyuan Liu, Qun Ding

“…Low-dimensional chaotic mappings are simple functions that have low computation cost and are easy to realize, but applying them in a cryptographic algorithm will lead to security vulnerabilities. …”
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Evaluation of Blockchain Technology for Supply Chains using an Integrated Fuzzy Cognitive Map-QFD Methodology by Emre Alptekin, Ayça Maden

“…Blockchain technology holds immense potential to transform supply chain processes, but the challenge lies in identifying the most suitable blockchain characteristics to meet the various performance indicators of a supply chain. …”
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Computational-experimental approach to drug-target interaction mapping: A case study on kinase inhibitors. by Anna Cichonska, Balaguru Ravikumar, Elina Parri, Sanna Timonen, Tapio Pahikkala, Antti Airola, Krister Wennerberg, Juho Rousu, Tero Aittokallio

“…Due to relatively high costs and labor required for experimental profiling of the full target space of chemical compounds, various machine learning models have been proposed as cost-effective means to advance this process in terms of predicting the most potent compound-target interactions for subsequent verification. …”
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