Deep learning in microbiome analysis: a comprehensive review of neural network models by Piotr Przymus, Krzysztof Rykaczewski, Adrián Martín-Segura, Jaak Truu, Enrique Carrillo De Santa Pau, Mikhail Kolev, Mikhail Kolev, Irina Naskinova, Aleksandra Gruca, Alexia Sampri, Alexia Sampri, Marcus Frohme, Alina Nechyporenko, Alina Nechyporenko

“…Deep learning algorithms have shown remarkable capabilities in pattern recognition, feature extraction, and predictive modeling, enabling researchers to uncover hidden relationships within microbial ecosystems. By automating the detection of functional genes, microbial interactions, and host-microbiome dynamics, DL methods offer unprecedented precision in understanding microbiome composition and its impact on health, disease, and the environment. …”
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Design of Hybrid Renewable Energy Systems: Integrating Multi‐Objective Optimization Into a Multi‐Criteria Decision‐Making Framework by Tebello Ntsiki Don Mathaba, Khaled Abo‐Al‐Ez

“…This paper presents a new multi‐criteria decision‐making framework (MCDM) to automate the design. The proposed framework initially uses a metaheuristic multi‐objective (MO) optimization algorithm to generate optimal candidate configurations and then objectively evaluates candidates to select the best configuration. …”
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Web Accessibility Status of Open Access Journals in Africa: A 2024 Snapshot by Pastor Nso-Mangue, Sergio Luján-Mora

“…A selection of OAJs, from the Directory of Open Access Journals (DOAJ), is evaluated against WCAG 2.1 using three automated web accessibility evaluation tools (AWAETs): Mauve++, Lighthouse and WAVE. …”
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Study of an outbreak of jaundice in Rajshahi, Bangladesh: a sociodemographic and clinical manifestation by Mahi Mubassira, Muntasir Alam Muhib, Syed Abeed-Ul-Haque, Sanzida Khanam, Faruk Hasan

“…Blood and urine samples were tested via an automated clinical chemistry analyzer to confirm the pathophysiology. …”
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Searching for efficient and informative instruments to digitally monitor fraction learning: putting tests for fraction subconstruct knowledge and informal fraction knowledge on the... by Constanze Schadl, Constanze Schadl, Anke Lindmeier

“…The digital adaptation of paper-based tests may address these challenges due to affordances like automated test scoring. Further, digital tests may facilitate repeated test use necessary for monitoring and formative activities. …”
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Green AI: Enhancing Sustainability and Energy Efficiency in AI-Integrated Enterprise Systems by Saumya Dash

“…The rise of Artificial Intelligence (AI) in automating tasks and driving decision-making within enterprise systems has led to growing concerns over the significant energy consumption involved in model training and inference processes. …”
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The media framing dataset: Analyzing news narratives in Mexico and ColombiaZenodo by Juan Cuadrado, Elizabeth Martinez, Juan Carlos Martinez-Santos, Edwin Puertas

“…The data collection involved a meticulous keyword-based search strategy designed to identify articles that illustrate various news-framing dimensions, such as Economics, Policy, Morality, and more.To construct this dataset, we employed a combination of manual and automated annotation techniques. Articles were categorized based on specific framing dimensions using a structured framework, developed in collaboration with experts in computational linguistics. …”
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Antierythropoietin Antibody Production Is Not Associated with Malaria and Malaria-Related Anaemia in Humans by Otchere Addai-Mensah, Daniel Gyamfi, Francis Agyei Amponsah, Max Efui Annani-Akollor, Kwabena Owusu Danquah, Lillian Boateng, Eddie-Williams Owiredu, Edward Y. Afriyie, Richard Vikpebah Duneeh, Renate Asare, David Ofosu Ntiamoah, Richard Boateng

“…Venous blood was collected for thick and thin films for malaria microscopy, full blood count by automated haematology analyzer, and antierythropoietin antibody and erythropoietin estimation by sandwich ELISA method. …”
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Improving the accuracy of soil texture determination using pH and electro conductivity values with ultrasound penetration-based digital soil texture analyzer by Emre Kilinc, Umut Orhan

“…These findings suggest that automated systems like USTA, with modular pH and EC sensors, can provide cost-effective, efficient alternatives to traditional methods, offering practical implications for soil management and agricultural optimization.…”
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Three-Dimensional Reconstruction of Oral Tongue Squamous Cell Carcinoma at Invasion Front by Tomoo Kudo, Yoshihito Shimazu, Hisao Yagishita, Toshiyuki Izumo, Yuuichi Soeno, Kaori Sato, Yuji Taya, Takaaki Aoba

“…For 3D reconstruction, image registration and RGB color segmentation were automated using ImageJ software to avoid operator-dependent subjective errors. …”
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Real-Time Diagnostic Technique for AI-Enabled System by Hiroaki Itsuji, Takumi Uezono, Tadanobu Toba, Subrata Kumar Kundu

“…AI-enabled systems are currently used even for safety-critical applications, including automated driving, where they encounter reliability challenges from both hardware (HW) and software (SW) perspectives. …”
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dataFishing: An efficient Python tool and user-friendly web-form for mining mitochondrial and chloroplast sequences, taxonomic, and biodiversity data by Luan Rabelo, Davidson Sodré, Oscar David Albito Balcázar, Murilo Furtado do Rosário, Aurycéia Jaquelyne Guimarães-Costa, Grazielle Gomes, Iracilda Sampaio, Marcelo Vallinoto

“…However, depending on the taxonomic group studied, searches in these databases can encompass dozens or hundreds of queries, forcing researchers to conduct extensive searches in each database, which is a time-consuming and error-prone process. To facilitate and automate access to this information, we introduce dataFishing, a Python script and a web form. dataFishing is faster and more efficient than other R packages, such as bold, taxize, rgbif, rredlist, and worrms, for obtaining taxonomic information from the consulted databases. …”
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Detection of weeds in vegetables using image classification neural networks and image processing by Huiping Jin, Kang Han, Kang Han, Hongting Xia, Bo Xu, Xiaojun Jin

“…Accurate identification of weeds is essential for automated weeding. However, the wide variety of weed types and their complex distribution creates difficulties in rapid and accurate weed detection. …”
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Impact of Chatbots on User Experience and Data Quality on Citizen Science Platforms by Akasha-Leonie Kessel, Soror Sahri, Sven Groppe, Jinghua Groppe, Hanieh Khorashadizadeh, Marc Pignal, Eva Perez Pimparé, Régine Vignes-Lebbe

“…Recent advancements in Large Language Models (LLMs) present a promising solution by providing automated, real-time assistance to users, reducing the need for extensive human intervention, and offering instant support. …”
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WisdomModel: convert data into wisdom by Israa Mahmood, Hasanen Abdullah

“…Design/methodology/approach – The proposed WisdomModel consists of four stages: build a classifier, isolate the misclassified instances, construct an automated knowledge base for the misclassified instances and rectify incorrect prediction. …”
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Linguistic Analysis of Hindi-English Mixed Tweets for Depression Detection by Carmel Mary Belinda M J, Ravikumar S, Muhammad Arif, Dhilip Kumar V, Antony Kumar K, Arulkumaran G

“…The entire architecture works over English and Hindi languages, which shall help in implementation globally and across multiple platforms and help in putting a stop to the ever-increasing depression rates in a methodical and automated manner. In the proposed model pipeline, composed techniques are used to get the better results, as 96.15% accuracy and 0.914 as the F1 score have been attained.…”
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Deep learning-based malaria parasite detection: convolutional neural networks model for accurate species identification of Plasmodium falciparum and Plasmodium vivax by Diego A. Ramos-Briceño, Alessandro Flammia-D’Aleo, Gerardo Fernández-López, Fhabián S. Carrión-Nessi, David A. Forero-Peña

“…Artificial intelligence (AI) advances, particularly convolutional neural networks (CNNs), have significantly improved diagnostic capabilities and accuracy by enabling the automated analysis of medical images. Previous models efficiently detected malaria parasites in red blood cells but had difficulty differentiating between species. …”
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Closing the phenotyping gap with non-invasive belowground field phenotyping by G. Blanchy, G. Blanchy, G. Blanchy, W. Deroo, T. De Swaef, P. Lootens, P. Quataert, I. Roldán-Ruíz, R. Versteeg, S. Garré

“…We illustrate how this new infrastructure addresses the issues of depth resolution, automated data processing, and phenotyping indicator extraction. …”
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Six-Dimensional Pose Estimation of Molecular Sieve Drying Package Based on Red Green Blue–Depth Camera by Yibing Chen, Songxiao Cao, Qixuan Wang, Zhipeng Xu, Tao Song, Qing Jiang

“…This paper aims to address the challenge of precise robotic grasping of molecular sieve drying bags during automated packaging by proposing a six-dimensional (6D) pose estimation method based on an red green blue-depth (RGB-D) camera. …”
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Topological graphs: a review of some of our achievements and perspectives in physical chemistry and homogeneous catalysis by Bougueroua, Sana, Aboulfath, Ylène, Cimas, Alvaro, Hashemi, Ali,  Pidko, Evgeny A., Barth, Dominique, Gaigeot, Marie-Pierre

“…We also show how the 2D-MolGraphs can easily be included in automated high-throughput in silico reactivity workflows, and how essential they are in some of the decisive steps to be taken in these workflows. …”
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