Robust outdoor trajectory mapping using CNN features and loop closure optimization by Kamran Kazi, Arbab Nighat Kalhoro, Farida Memon, Tarique Rafique Memon, Azam Rafique Memon

“…To counteract accumulated drift, a hybrid optimization strategy is proposed: Bag of Words (BoW)-based loop closure detection identifies revisit locations, while an algorithm is developed to optimize the map. …”
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Application of artificial neural networks for predicting soil settlement in geotechnical applications with plastic waste reinforcement above buried pipes by Sinan A. Al-Haddad, Hala Adnan Abbas, Luttfi A. Al-Haddad, Mustafa I. Al-Karkhi

“…The ANN model, configured with two hidden layers of 10 and 6 neurons respectively, had used the hyperbolic tangent (tanh) activation function and trained with the Levenberg–Marquardt algorithm. The R2 values reached 0.9990 for training and 0.9965 for testing, while the Root Mean Square Error (RMSE) was maintained at 0.021% for training and 0.034% for testing which indicates minimal deviation between predicted-observed settlements. …”
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Improving Fall Classification Accuracy of Multi-Input Models Using Three-Axis Accelerometer and Heart Rate Variability Data by Seunghui Kim, Jae Eun Ko, Seungbin Baek, Daechang Kim, Sungmin Kim

“…To solve this problem, a fall prevention algorithm using an acceleration sensor has been developed, and research is being conducted to enable continuous monitoring using a Holter electrocardiograph. …”
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Efficient and assured reinforcement learning-based building HVAC control with heterogeneous expert-guided training by Shichao Xu, Yangyang Fu, Yixuan Wang, Zhuoran Yang, Chao Huang, Zheng O’Neill, Zhaoran Wang, Qi Zhu

“…Compared with traditional model-based HVAC control methods, the recent model-free deep reinforcement learning (DRL) based methods have shown good performance while do not require the development of detailed and costly physical models. …”
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Plug-and-Play Robust Aerial Object Detection Under Hazy Conditions by Wei Wu, Hao Chang, Zhiwen Chen, Zhu Li

“…Recently, to improve detection accuracy in inclement weather, some excellent specifically designed algorithms for foggy conditions have been presented to identify objects from hazy images. …”
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Cross-regional sample generation based on Cropland Data Layer for large-scale winter wheat mapping: A case study of Huang-Huai-Hai Plain, China by Man Liu, Wei He, Hongyan Zhang

“…The first step involves applying the Random Forest algorithm to transfer the mapping rules from the source area to the target area while determining the probability similarity of each pixel in the target area to winter wheat in the source area. …”
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Investigating lightweight and interpretable machine learning models for efficient and explainable stress detection by Debasish Ghose, Ayan Chatterjee, Indika A. M. Balapuwaduge, Yuan Lin, Soumya P. Dash

“…Our results demonstrate that lightweight models such as k-NN and Decision Tree can achieve competitive accuracy while ensuring lower computational demands, making them ideal for real-time applications. …”
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Mixed-method estimation of population-level HIV viral suppression rate in the Western Cape, South Africa by Landon Myer, Maia Lesosky, Elton Mukonda, Nei-Yuan Hsiao, Lara Vojnov

“…We describe how routinely collected viral load (VL) data from antiretroviral therapy (ART) programmes can be extrapolated to estimate population VS and validate this using a combination of empiric and model-based estimates.Methods VL test results from were matched using a record linkage algorithm to obtain linked results for individuals. …”
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Pressure effect on electronic and optical properties of noncentrosymmetric LaPtGe3 studied by ab initio method by Md. Karimul Islam, Nilufer Yesmin Tanisa, Mosfiqur Rahman, Abul Monsur Musa, Tareque Aziz, Md. Moiful Alam, Asif Pervez

“…Density functional theory applied with the CASTEP algorithm was used to evaluate the electrical and optical characteristics of LaPtGe3. …”
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Shoulder–Elbow Joint Angle Prediction Using COANN with Multi-Source Information Integration by Siyu Zong, Wei Li, Dawen Sun, Zhuoda Jia, Zhengwei Yue

“…To address the precision challenges in upper-limb joint motion prediction, this study proposes a novel artificial neural network (COANN) enhanced by the Cheetah Optimization Algorithm (COA). The model integrates surface electromyography (sEMG) signals with joint angle data through multi-source information fusion, effectively resolving the local optima issue in neural network training and improving the accuracy limitations of single sEMG predictions. …”
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SGDO-SLAM: A Semantic RGB-D SLAM System with Coarse-to-Fine Dynamic Rejection and Static Weighted Optimization by Qiming Hu, Shuwen Wang, Nanxing Chen, Wei Li, Jiayu Yuan, Enhui Zheng, Guirong Wang, Weimin Chen

“…The experimental results demonstrate that SGDO-SLAM reduces the absolute trajectory error performance metrics by 95% compared to the ORB-SLAM2 algorithm, while maintaining real-time efficiency and achieving state-of-the-art accuracy in dynamic scenarios.…”
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The moderating role of personalized recommendations in the trust–satisfaction–loyalty relationship: an empirical study of AI-driven e-commerce by Noha Hassan, Mohamed Abdelraouf, Dina El-Shihy

“…Transparency features, such as explaining why certain products are recommended, and cultural sensitivity in algorithm design can further enhance customer trust and acceptance. e-commerce organizations should also invest in data privacy measures and clear algorithms to maintain consumer confidence while leveraging AI to improve customer experience and achieve sustainable competitive advantages. …”
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Study on the Three-Dimensional Evolution of Ionospheric Disturbances in China During the Geomagnetic Storm on December 1, 2023 by Yifei Yang, Jian Kong, Xiangping Chen, Congcong Ling, Changzeng Tang, Yibin Yao, Zhaorong Zhu

“…During the main phase of the geomagnetic storm, the electron density expanded from higher to lower layers, while during the recovery phase, it recovered from the lower layers to the higher layers.…”
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A metaheuristic optimization-based approach for accurate prediction and classification of knee osteoarthritis by Amal G. Diab, El-Sayed M. El-Kenawy, Nihal F. F. Areed, Hanan M. Amer, Mervat El-Seddek

“…The prevailing method for knee joint analysis involves manual diagnosis, segmentation, and annotation to diagnose osteoarthritis (OA) in clinical practice while being highly laborious and a susceptible variable among users. …”
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An ensemble learning model to predict lymph node metastasis in early gastric cancer by Kaiqing Song, Jiaming Wu, Muchen Xu, Mengying Li, Yuqi Chen, Yi Zhang, Hong Chen, Caifeng Jiang

“…The study utilized both univariate and multivariate logistic regression analyses to identify independent risk factors for lymph node metastasis of early gastric cancer, while employing five distinct algorithms to calculate feature weights. …”
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Collaborative Federated Learning of Unmanned Aerial Vehicles in Space–Air–Ground Integrated Network by Huibo Li, Peng Gong, Siqi Li, Weidong Wang, Yu Liu, Xiang Gao, Dapeng Oliver Wu, Duk Kyung Kim, Guangwei Zhang, Jihao Zhang

“…Simulation results demonstrate that the proposed collaborative training scheme based on D2D can reduce the impact of heterogeneity on FL model performance and IRA can effectively reduce energy consumption while simultaneously enhancing training efficiency of FL.…”
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The formation, development and classification of rail corrugation: a survey on Chinese metro by Yang Wang, Hong Xiao, Zhihai Zhang, Xuhao Cui, Yihao Chi, Mahantesh M. Nadakatti

“…By employing t-distributed stochastic neighbor embedding (t-SNE) for dimensional reduction and employing the unsupervised clustering algorithm DBSCAN, the research redefines the classification of metro rail corrugation based on characteristic information. …”
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A Proactive Caching Approach to Boost Network Offloading in Urban Areas by Ahmed Hassan, Khaled Metwally, Tamer Mekkawy, Ashraf Mahran

“…At its core is the Cognitive File Caching Algorithm (CFCA), a proactive, scalable, and adaptive approach designed to address complex challenges involving varying file popularity in cities and user movement patterns. …”
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Reducing Defense Vulnerabilities in Federated Learning: A Neuron-Centric Approach by Eda Sena Erdol, Hakan Erdol, Beste Ustubioglu, Guzin Ulutas, Iraklis Symeonidis

“…This paper proposes a new defense algorithm called Neuron-Centric Federated Learning Defense (NC-FLD), a novel approach that dynamically identifies and analyzes the most significant neurons across model layers rather than examining entire gradient spaces. …”
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Efficient lightweight cryptographic solutions for enhancing data security in healthcare systems based on IoT by Abdul Muhammed Rasheed, Retnaswami Mathusoothana Satheesh Kumar

“…This study introduces innovative lightweight cryptographic algorithms aimed at enhancing security in IoT-based healthcare systems. …”
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