3D reconstruction of fruit trees and fruit semantic segmentation based on NeRF and improved RandLA-Net by Dacheng YANG, Jun GUO, Jing YANG, Yali ZHANG, Yubin LAN

“…A bilateral enhancement module was added after the encoder layer, and a loss function more suitable for the fruit point cloud segmentation task was adopted. …”
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Deep neural network based distribution system state estimation using hyperparameter optimization by Gergő Békési, Lilla Barancsuk, Bálint Hartmann

“…Additionally, it is shown that TPE outperforms simpler methods like Random Search in hyperparameter optimization. The results also reveal connections between the distribution system size and optimal hyperparameters, such as batch size, learning rate, and hidden layer configuration. …”
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Deep learning-based FPGA steady-state temperature field reconstruction for nuclear safety level I&C systems by Fanyu Wang, Dongwei Wang, Ke Zhang, Qiang Deng, Qi Chen, Yang Zhao

“…A U-Net-based model is developed and compared with traditional multi-layer perceptron (MLP) and graph neural network (GNN) models. …”
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Fabrication of Low-Power Consumption Hydrogen Sensor Based on TiO_x/Pt Nanocontacts via Local Atom Migration by Yasuhisa Naitoh, Hisashi Shima, Hiroyuki Akinaga

“…The key findings are summarized as follows: (1) Resistive random-access memory (ReRAM) technology was used to fabricate extremely compact H₂ sensors via various forming techniques, and substantial sensor performance enhancement was investigated. (2) A nanocontact composed of titanium oxide (TiO_x)/platinum (Pt) was subjected to various forming operations to establish a Schottky junction with a nanogap structure on a tantalum oxide (Ta₂O₅) layer, and its properties were assessed. (3) When the Pt electrode was on the positive side during the forming operation used for ReRAM technology, a Pt nanopillar structure was produced. …”
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ToFA: Towards Fault Analysis of GIFT and GIFT-like Ciphers Leveraging Truncated Impossible Differentials by Anup Kumar Kundu, Shibam Ghosh, Aikata Aikata, Dhiman Saha

“…Unique key recovery was achieved for GIFT-128 with 3 random byte faults, while for GIFT-64, key space was reduced to 232, the highest achievable for GIFT-64, with a single level fault due to its key-schedule. …”
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Assessing the driving process of meteorological and agricultural drought in the Yellow River Basin by Xiufen Gu, Yuqi Li, Sajad Jamshidi, Lailei Gu, HongGuang Sun, Dayong Wang

“…Study focus: This study examines six-month anomalies in precipitation (SPI), runoff (SRI), surface-layer soil moisture (SMI), and vegetation health (VHI), covering the period from 1990 to 2020. …”
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Data-Driven Insights Into EV Charging Patterns: Machine Learning Models Reveal Key Predictors of Station Utilization in Tennessee by Seyedmehdi Khaleghian, Thanh-Nam Doan, Joe Knox, Austin Harris, Mina Sartipi

“…By employing a range of supervised ML models, including Ordinary Least Squares (OLS) regression, Gradient Boosting, XGBoost, Multi-layer perceptron (MLP), and Random Forest (RF), we predict daily charging station utilization with significantly improved accuracy. …”
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Impact of Agro-forestry on Soil Conservation in Kayonza Subcounty: A Case Study of Rutendere Parish. by Ayebale, Anxious

“…The sampling techniques used included simple random sampling and purposive sampling techniques and findings were collected using the interview method, questionnaire method, and observation method. …”
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Physical and chemical changes in soil fertilized with poultry manure with and without chiseling by Edson S. Eguchi, Ulysses Cecato, Antonio S. Muniz, Gracielle C. Mari, Raphael A. C. Murano, Eurico L. de Sousa Neto

“…Soil chiseling caused physical changes with an increase of macroporosity in the layer of 0-0.2 m and reduction in soil density and increase in macroporosity and total porosity in the layer of 0.2-0.4 m. …”
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Phytoremediation of chlorobenzenes in sewage sludge cultivated with Pennisetum purpureum at different times by Anarelly C. Alvarenga, Regynaldo A. Sampaio, Gevany P. Pinho, Paulo H. S. Cardoso, Izabelle de P. Sousa, Mário H. C. Barbosa

“…At 150 days, the control, in the layer of 0-20 cm, showed higher concentrations of 1,3,5-CB, compared with the same layer of cultivated sludge. …”
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Enhanced Community Detection via Convolutional Neural Network: A Modified Approach Based on MRFasGCN Algorithm by Puneet Kumar, Dalwinder Singh, Mamoona Humayun, Ali Alqazzaz, Arun Malik, Ibrahim Alrashdi, Isha Batra, Ghadah Naif Alwakid

“…In pre-processing, rather than passing the adjacency matrix with the normalized adjacency matrix, it will pass the reconstructed adjacency matrix and normalized reconstructed adjacency matrix, which resolves the sparsity problem, 2. GCN layer output will be fed to the MRF layer and refined results will be passed to the Adam optimizer without subtraction. …”
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Effect of different packaging type on seed vigor of three rapeseed(Brassica napus L.) cultivars stored in Ghome province by بیتا اسکویی, مریم دیوسالار, لیلا یاری, عباس زارعیان

“…The studied cultivars were RGS, Talaieh and Okapi and packaging cover types were three andndash;layer paper bag ,4-layer paper bag , propylene bag,propylene+paper and flaxen bag which was studied using factorial experiment on the basis of randomized complete block design in 3 replications. …”
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Mechanism of Influence of Spatial Perception on Residents’ Emotion in Child-Friendly Urban Streets of Fuzhou City by Shaofeng CHEN, Zhengyan CHEN, Yuhan XU, Zheng DING

“…In view of this, a three-level optimization path of “traffic control (base layer) — safety creation (middle layer) — spatial quality (enhancement layer)” is proposed.ConclusionThis research advances child-friendly urban planning by street spatial perceptions to residents’ emotional outcomes. …”
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Atmospheric stability from numerical weather prediction models and microwave radiometer observations for onshore and offshore wind energy applications by D. Cimini, D. Cimini, R. Gandoin, S. Fiedler, S. Fiedler, C. Acquistapace, A. Balotti, S. Gentile, S. Gentile, E. Geraldi, C. Knist, P. Martinet, S. T. Nilo, G. Pace, B. Pospichal, F. Romano

“…Conversely, both models show larger random differences in stable compared to unstable conditions. …”
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Synthetic Seismic Reflection Modelling in a Supercritical Geothermal System: An Image of the K-Horizon in the Larderello Field (Italy) by R. de Franco, L. Petracchini, D. Scrocca, G. Caielli, G. Montegrossi, A. Santilano, A. Manzella

“…Two geophysical models were used to test the seismic response of the K-horizon, which is associated with (1) a lithological discontinuity or (2) a physically perturbed layer, represented by a randomized velocity distribution in a thin layer. …”
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Comparative study of the retinal structure and visual acuity in 7–12-year-old children between children with a history of treatment of retinopathy of prematurity and regressed reti... by Yutaro Mizusawa, Tomo Nishi, Nahoko Ogata, Kayo Shinomiya, Yoshinori Mitamura, Naoki Kimura, Fumi Gomi, Akiko Miki, Makoto Nakamura, Takamasa Kinoshita, Shumpei Obata, Masahito Ohji, Takuya Tsuji, Shigeo Yoshida, Tetsuo Ueda

“…The eyes in the PC-treated group were more myopic than those in the untreated group; further, they exhibited a unique foveal morphology with thicker foveal thickness (274.2 ± 29.9 μm in the PC-treated and 239.9 ± 25.0 μm in the untreated groups p < 0.001), inner retinal layer retention (23.6 ± 12.5 μm in the PC-treated and 14.1 ± 7.1 μm in the untreated groups p = 0.004) and a thicker outer nuclear layer (130.3 ± 20.0 μm in the PC-treated and 110.8 ± 20.6 μm in the untreated groups p < 0.001). …”
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Optimasi Convolutional Neural Network Untuk Deteksi Covid-19 pada X-ray Thorax Berbasis Dropout by I Gede Totok Suryawan, I Putu Agus Eka Darma Udayana

“…The method used was to insert a dropout layer on the artificial network system. This method will force the system to learn using the shortest route by eliminating some nodes at random. …”
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UAV-assisted MEC offloading strategy with peak AOI boundary optimization: A method based on DDQN by Zhixiong Chen, Jiawei Yang, Zhenyu Zhou

“…By considering factors such as machine communication traffic, MAC competition access, and information freshness, this paper develops a cross-layer computing framework in which the peak Age of Information (AoI) provides a statistical delay boundary in the finite blocklength regime. …”
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Mapping Design for <inline-formula> <tex-math notation="LaTeX">$2^{M}$ </tex-math></inline-formula>-Ary Bit-Interleaved Polar Coded Modulation by Qingping Yu, Zhiping Shi, Xingwang Li, Muhammad Asif, Jiayi Zhang, Khaled M. Rabie

“…We first introduce a two-layer bipartite graph to represent BIPCM, where a new mapping graph linking polar graph to modulator is added to the conventional factor graph. …”
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Chondrogenic Cancer Grading by Combining Machine and Deep Learning with Raman Spectra of Histopathological Tissues by Gianmarco Lazzini, Mario D’Acunto

“…We tested the classification performances of a support vector machine (SVM) and a random forest classifier (RFC), as representatives of ML algorithms, and two versions of the multi-layer perceptron (MLPC) as representatives of deep learning (DL). …”
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