Evaluating LiDAR technology for accurate measurement of tree metrics and carbon sequestration by Suradet Tantrairatn, Auraluck Pichitkul, Nutchanan Petcharat, Pawarut Karaked, Atthaphon Ariyarit

“…This indicates that manual LiDAR measurements are more accurate and consistent, while the higher RMSE in the 3D Forest Inventory method reflects greater variability and potential estimation errors.The findings suggest that LiDAR technology, particularly manual measurements, provides a reliable and efficient alternative for carbon sequestration assessments in forest management.…”
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Application of electrodeposition for Nickel Nanoparticle-Modified Electrodes in Biochemical Systems by Fatemeh Mahmoodzadeh, Nahid Navidjouy, Saber Alizadeh, Mostafa Rahimnejad

“…The type and material of the electrode are critical factors affecting the efficiency and energy production of this process. The electrodeposition method was employed to dope nickel (Ni) and modify the surface of graphite plates (GP) and carbon felt (CF). …”
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Hybrid CNN and random forest model with late fusion for detection of autism spectrum disorder in Toddlers by Pushpmala Nawghare, Jayashree Prasad

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AngleCam: Predicting the temporal variation of leaf angle distributions from image series with deep learning by Teja Kattenborn, Ronny Richter, Claudia Guimarães‐Steinicke, Hannes Feilhauer, Christian Wirth

“…However, there is no efficient method for tracking leaf angles of plant canopies under field conditions. …”
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AI-pocalypse now: Automating the systematic literature review with SPARK (Systematic processing and automated review Kit) – gathering, organising, filtering, and scaffolding. by Cameron Frederick Atkinson

“…This paper highlights how these methods can enhance research efficiency and impact. • Hard-coded tools can be utilised to automate research. • Hard-coded tools do not carry the dangers of ‘hallucinations’ that GenAI infused tools may. • Hard-coded automation tools allow researchers to keep up to date with contemporary research outputs while maintaining a high level of control in the research process.…”
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Sequential testing of complementary hypotheses about population density by Diego F. Rincon, Izzy McCabe, David W. Crowder

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AMMonitor 2: Remote monitoring of biodiversity in an adaptive framework in R by Laurence Clarfeld, Caroline Tang, Kaitlin Huber, Cathleen Balantic, Therese Donovan

“…Abstract Wildlife face a myriad of challenges due to changing climate and land use regimes that necessitate efficient monitoring methods on large geospatial scales. …”
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Synchronized Analysis of FTIR Spectra and GCMS Chromatograms for Evaluation of the Thermally Degraded Vegetable Oils by Siong Fong Sim, Terri Zhuan Ean Lee, Nurul Aida Lu Mohd Irwan Lu, Benedict Samling

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In situ estimation of active dispersal abilities in reef fish early life stages using tracking technologies by Eliot Ruiz, Pierre‐Yves Pascal, Lucie Vanalderweireldt, Sébastien Cordonnier, Amélia Chatagnon, Pierre‐Louis Rault, Séverine Albouy‐Boyer, Juliette Silhol, Raphaël Thomas, Charlotte R. Dromard, Loïc Pellissier, Thomas Le Berre, Jacques Panfili, Camille Albouy, Fabien Leprieur

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Investigation of the Effect of Climate Change on the Optimization of Dam reservoir operation using Dolphin Echolocation and Gravitational Search Algorithms (Case study: Lar Dam Bas... by Hediyeh Sadeghijou, Amirpouya Sarraf, Hassan Ahmadi

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A comprehensive review of the use of Shapley value to assess node importance in the analysis of biological networks by Giang Pham, Paolo Milazzo

“…Some methods employ game settings that enable more efficient Shapley value calculations, albeit with a narrower scope, as they are tailored to specific problems. …”
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“Conversing” With Qualitative Data: Enhancing Qualitative Research Through Large Language Models (LLMs) by Adam S. Hayes

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Application of ANFIS Technique for Wide-Band Modeling of Overvoltage of Single-Conductor Overhead Lines with Arrester above Dispersive and Two-Layer Soils by Saeed Reza Ostadzadeh

“…Then a number of input-output pairs (inputs are soil resistivity and line height and the output is overvoltage) are computed from exact methods to train the algorithm. …”
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Design and Modeling of a Photonic Crystal Multiplexer Using Artificial Intelligence by P. Karami, S. I. Yahya, B. Palash, M. A. Chaudhary, M. Assaad, F. Parandin, S. Roshani, F. Hazzazi, S. Roshani

“…In this study, an ANN model is employed to accurately predict the normalized output power of the designed photonic crystal multiplexer, providing a time-efficient alternative to conventional simulation methods for analyzing multiplexer behavior across various logical states. …”
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Foliar feeding of rootstocks of various cultivars of hazelnuts (Corylus maxima Mill.) in the mother plantation for horizontal vegetative propagation by Н. О. Яремко

“…Determination of optimum dozes of foliar fee­ding for each cultivar that will provide the highest output of standard rootstocks. Methods. Field, analytical and statistical ones. …”
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Security of End-to-End medical images encryption system using trained deep learning encryption and decryption network by Saba Inam, Shamsa Kanwal, Anousha Anwar, Noor Fatima Mirza, Hessa Alfraihi

“…Unlike conventional image-to-image translation techniques, Cycle_GAN doesn’t require a dataset with corresponding input–output pairs. Traditional methods typically needs paired data to learn the mapping between input and output images. …”
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Real-time Power Flow Control Strategy for Electric Railway FTSSs Integrated with PVs and ESSs by Yinbo Ge, Haitao Hu, Junyu Chen, Ke Wang, Zhengyou He

“…First, a real-time power flow optimization method is proposed to calculate the output power references of the back-to-back converter (BTBC) and ESS. …”
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Directional Slack-Based Measure for the Inverse Data Envelopment Analysis by Ali Mirsalehy, Mohd Rizam Abu Bakar, Lai Soon Lee, Azmi B. Jaafar, Maryam Heydar

“…In detail, the efficient decision making unit in this method was omitted from the present production possibility set but substituted by the considered efficient decision making unit while its input and output quantities were subsequently modified. …”
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Study on a Receiver Circuit for Simultaneous Lightwave Information and Power Transfer by TU Junxuan, FAN Tingbing, NI Huilin, ZHUANG Jizhou, CAO Guoyang, WU Shaolong, LI Xiaofeng

“…In order to make the SLIPT system work more efficiently, it is necessary to regulate these two functions.…”
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Application of Medical Images for Melanoma Detection Using a Multi‐Architecture Convolutional Neural Network From a Deep Learning Approach by Justice Williams Asare, Emmanuel Akwah Kyei, Seth Alornyo, Emmanuel Freeman, Martin Mabeifam Ujakpa, William Leslie Brown‐Acquaye, Alfred Coleman, Forgor Lempogo

“…With the cascading multi‐architecture technique, we combined all the layers (multiple layers) output of the models and processed them (the output of the multiple layers) in a structured pipeline, which improves upon the previous output. …”
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