Variation in Malaria Transmission Dynamics in Three Different Sites in Western Kenya by S. S. Imbahale, W. R. Mukabana, B. Orindi, A. K. Githeko, W. Takken

“…Rainfall, humidity and temperature data were collected by automated weather stations. Negative binomial and Poisson generalized additive models were used to examine the risk of being infected, as well as the association with the weather variables. …”
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Temporal integration of ResNet features with LSTM for enhanced skin lesion classification by Sasmita Padhy, Sachikanta Dash, Naween Kumar, Shailendra Pratap Singh, Gyanendra Kumar, Poonam Moral

“…The results demonstrate the robustness and clinical significance of R-LSTM50, confirming its reliability as a tool for automated skin lesion classification. The hybrid design and sophisticated preprocessing techniques enhance the management of class imbalance and intricate feature interactions, establishing the proposed model as a notable improvement over current methodologies.…”
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Persian SMS Spam Detection using Machine Learning and Deep Learning Techniques by Roya Khorashadizade, Somayyeh Jafarali Jassbi, Alireza Yari

“…The inconvenience imposed on users, the loss of network traffic, the rise in the calculated cost, occupying more physical space on the mobile phone, and abusing and defrauding recipients are but a few of their downsides. Consequently, the automated identification of suspicious and spam messages is undoubtedly vitally important. …”
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A Framework for Detecting Vehicle Occupancy Based on the Occupant Labeling Method by Jooyoung Lee, Jihye Byun, Jaedeok Lim, Jaeyun Lee

“…To solve this problem, several studies and some companies have tried to develop an automated detection system. Due to the difficulties of the image treatment process, those systems had limitations. …”
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Weather Support for the 2008 Olympic and Paralympic Sailing Events by Yan Ma, Rongzhen Gao, Yunchuan Xue, Yuqiang Yang, Xiaoyun Wang, Bin Liu, Xiaoliang Xu, Xuezhong Liu, Jianwei Hou, Hang Lin

“…Three-dimensional real-time information with high spatial-temporal resolution was obtained by the comprehensive observation system during the OPSC, which included weather radars, wind profile radars, buoys, automated weather stations, and other conventional observations. …”
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Securing fingerprint templates by enhanced minutiae‐based encoding scheme in Fuzzy Commitment by Shivangi Shukla, Sankita J. Patel

“…Its extensive deployment in our automated world raises major concerns regarding the secrecy of biometric templates and the privacy of rightful owners in biometric systems. …”
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Inverse design of nanophotonic devices enabled by optimization algorithms and deep learning: recent achievements and future prospects by Kim Junhyeong, Kim Jae-Yong, Kim Jungmin, Hyeong Yun, Neseli Berkay, You Jong-Bum, Shim Joonsup, Shin Jonghwa, Park Hyo-Hoon, Kurt Hamza

“…In this review, we delve into the latest progress in the inverse design of nanophotonic devices, where AI and optimization methods are leveraged to automate and enhance the design process. We discuss representative methods commonly employed in nanophotonic design, including various meta-heuristic algorithms such as trajectory-based, evolutionary, and swarm-based approaches, in addition to adjoint-based optimization. …”
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Chaos Game Optimization with stacked LSTM sequence to sequence autoencoder for malware detection in IoT cloud environment by Moneerah Alotaibi, Ghadah Aldehim, Mashael Maashi, Mashael M. Asiri, Faheed A.F. Alrslani, Sultan Refa Alotaibi, Ayman Yafoz, Raed Alsini

“…The proposed CGOIDL-MD technique majorly concentrates on the automated detection and classification of malware in the IoT cloud framework. …”
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STREAMING MICROSCOPIC IMAGE DATA TO THE CLOUD STORAGE FOR DETECTION OF ACUTE LYMPHOBLASTIC LEUKEMIA USING CNN by P. Kravchenko, I. Burlachenko

“…Therefore, the need for automated data collection of microscope images and their analysis with high accuracy is urgent. …”
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Hierarchical image classification using transfer learning to improve deep learning model performance for amazon parrots by Jung-Il Kim, Jong-Won Baek, Chang-Bae Kim

“…Such models can reduce the workload of experts by automating species classification to monitor wild populations and global trade. …”
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Increasing the Efficiency Factor of Solar Power Plants Due to Solar Energy Localizing by V. I. Mironchuk, A. A. Velchenko

“…The obtained numerical calculations of the solar trajectory make it possible to optimize the orientation of solar panels for permanently installed panels and for automated solar tracking systems, as well as to select the optimal configuration of the power plant equipment for any geographic area.…”
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Spectral Imaging of Multi-Color Chromogenic Dyes in Pathological Specimens by Merryn V. E. Macville, Jeroen A. W. M. Van der Laak, Ernst J. M. Speel, Nir Katzir, Yuval Garini, Dirk Soenksen, George McNamara, Peter C. M. de Wilde, Antonius G. J. M. Hanselaar, Anton H.N. Hopman, Thomas Ried

“…Our data further indicate that the use of spectral imaging (a) may increase the number of parameters studied simultaneously in pathological diagnosis, (b) may provide quantitative data (such as positive labeling indices) more accurately, and (c) may solve segmentation problems currently faced in automated screening of cell‐ and tissue specimens. …”
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Fusion-Learning-Based Optimization: A Modified Metaheuristic Method for Lightweight High-Performance Concrete Design by Ghodrat Rahchamani, Seyed Mojtaba Movahedifar, Amin Honarbakhsh

“…It is possible to accurately predict the quality of concrete and the amount of raw materials used using machine learning-enhanced methods. An automated process based on machine learning strategies is proposed in this paper for predicting the compressive strength of concrete. …”
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From Vision to Reality: The Use of Artificial Intelligence in Different Urban Planning Phases by Frank Othengrafen, Lars Sievers, Eva Reinecke

“…The key to this is “machine learning” that has the ability to recognise patterns, capture models, and learn on the basis of big data via the application of automated statistical methods. However, what does this mean for urban planning and the future development of cities? …”
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Characterizing vegetation and return periods in avalanche paths using lidar and aerial imagery by Erich H. Peitzsch, Chelsea Martin-Mikle, Jordy Hendrikx, Karl Birkeland, Daniel Fagre

“…We calculated spatially explicit avalanche return periods using a physically based spatial interpolation method and characterized the vegetation within those return period zones. The automated vegetation classification model differed slightly between avalanche paths, but the combination of lidar and spectral signature metrics provided the best accuracy (88–92 percent) for predicting vegetation classes within complex avalanche terrain rather than lidar or spectral signature metrics alone. …”
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A Deep Learning Approaches for Enhancing Clinical Solutions to Cardiovascular Prediction Using EHR by Mounika Valasapalli, Nallagatla Raghavendra Sai

“…Current methods for cardiovascular disease prediction is leading to so many miss classifications, urging the need of modern automated Deep learning approaches. The main purpose of these approaches is to detect the occurrence of cardiovascular disease (CVD) using patient information from comprehensive electronic health records (HER). …”
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Inverse Gini indexed averaging: A multi-leveled ensemble approach for skin lesion classification using attention-integrated customized ResNet variants by Anwar Hossain Efat, SM Mahedy Hasan, Md Palash Uddin, Faysal Hossain Emon

“…This approach addresses the current research gap in effective weight optimization in EL and supports timely, automated skin disease detection.…”
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Safe cooperative control of CAVs at signal-free intersection under realistic scenarios by Yuta Nakai, Toru Namerikawa

“…This research deals with the cooperative control of CAVs (Connected and Automated Vehicles) at signal-free intersection. CAVs communicate with each other and adjust their speeds to safely pass through the intersection without having to stop. …”
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Neurofilament Light Chain Levels in Serum and Cerebrospinal Fluid Do Not Correlate with Survival Times in Patients with Prion Disease by Mika Shimamura, Kong Weijie, Toshiaki Nonaka, Koki Kosami, Ryusuke Ae, Koji Fujita, Taiki Matsubayashi, Tadashi Tsukamoto, Nobuo Sanjo, Katsuya Satoh

“…In this study, we employed a fully automated multiplex ELISA (Ella^®) to measure the concentrations of 14-3-3 protein, total tau protein, and neurofilament light chain (NF-L) in cerebrospinal fluid (CSF) and serum samples from patients with prion disease and analyzed their link to disease prognosis. …”
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Digital Camouflage Pattern Design Based on the Biased Random Walk by Yuanying Gan, Chuntong Liu, Zhenxin He, Hongcai Li, Zhongye Liu

“…In the face of high-tech imaging reconnaissance, battlefield detection means tend to be automated and refined. In order to adapt to the concealment requirements under various environmental backgrounds, combined with the camouflage performance of digital camouflage and its feedback mechanism in camouflage pattern design, this paper proposed a digital camouflage pattern design method based on biased random walk. …”
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