AIMC Topic: Machine Learning

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Predicting yellow mosaic disease severity in yardlong bean using visible imaging coupled with machine learning model.

Scientific reports Jul 10, 2025
Accurate estimation of plant disease severity is pivotal for effective management and decision-making. Field experiments were conducted to understand the correlation and predict the yellow mosaic disease severity in yard-long beans using visible imag...
Genotype Plant Diseases Phaseolus Machine Learning Severity of Illness Index Disease Resistance
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A bird species occurrence dataset from passive audio recordings across dense urban areas in Gothenburg, Sweden.

Scientific data Jul 10, 2025
Bird species occurrence datasets are a valuable resource for understanding the effects of urbanization on various biotic conditions (e.g., species occupancy and richness). Existing datasets offer promising opportunities to explore variations among ci...
Urbanization Animals Birds Cities Machine Learning Sweden
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Leveraging machine learning techniques for image classification and revealing social media insights into human engagement with urban wild spaces.

Scientific reports Jul 10, 2025
In recent years, machine learning models have exhibited excellent performance and far-reaching impact across domains such as fraud detection in finance, recommendation systems in e-commerce, medical imaging in healthcare, agricultural forecasting, so...
Image Processing, Computer-Assisted Social Media Neural Networks, Computer Machine Learning Cities Humans
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AI based natural inhibitor targeting RPS20 for colorectal cancer treatment using integrated computational approaches.

Scientific reports Jul 10, 2025
The increasing global incidence of cancer emphasizes the vital role of machine learning algorithms and artificial intelligence (AI) in identifying novel anticancer targets and developing new drugs. Computational approaches can significantly quicken r...
Humans Artificial Intelligence Machine Learning Colorectal Neoplasms Indoles Molecular Docking Simulation Binding Sites Antineoplastic Agents Ribosomal Proteins Molecular Dynamics Simulation
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Random access and semantic search in DNA data storage enabled by Cas9 and machine-guided design.

Nature communications Jul 10, 2025
DNA is a promising medium for digital data storage due to its exceptional data density and longevity. Practical DNA-based storage systems require selective data retrieval to minimize decoding time and costs. In this work, we introduce CRISPR-Cas9 as ...
CRISPR-Associated Protein 9 Machine Learning Sequence Analysis, DNA DNA CRISPR-Cas Systems Information Storage and Retrieval Semantics
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PREACT-digital: study protocol for a longitudinal, observational multicentre study on digital phenotypes of non-response to cognitive behavioural therapy for internalising disorders.

BMJ open Jul 10, 2025
INTRODUCTION: Cognitive behavioural therapy (CBT) serves as a first-line treatment for internalising disorders (ID), encompassing depressive, anxiety or obsessive-compulsive disorders. Nonetheless, a substantial proportion of patients do not experien...
Longitudinal Studies Observational Studies as Topic Multicenter Studies as Topic Cognitive Behavioral Therapy Ecological Momentary Assessment Machine Learning Wearable Electronic Devices Smartphone Humans
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Bias in vital signs? Machine learning models can learn patients' race or ethnicity from the values of vital signs alone.

BMJ health & care informatics Jul 10, 2025
OBJECTIVES: To investigate whether machine learning (ML) algorithms can learn racial or ethnic information from the vital signs alone.
Critical Illness Intensive Care Units Female Machine Learning Algorithms Retrospective Studies Middle Aged United States Bias Aged Adult Male Racial Groups Respiratory Rate Ethnicity Heart Rate Humans Vital Signs
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Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes.

Neurosurgical review Jul 10, 2025
Accurately predicting the severity of subarachnoid hemorrhage (SAH) is critical for informing clinical decisions and improving patient outcomes. This study addresses the challenges of imbalanced data in SAH severity classification by employing the Mo...
Subarachnoid Hemorrhage Male Middle Aged Severity of Illness Index Machine Learning Algorithms Prognosis Female Aged Adult Humans
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Application of machine learning models for zooplankton abundance prediction in ponds of Southeastern Coastal Regions in Bangladesh.

Environmental monitoring and assessment Jul 10, 2025
Zooplankton abundance prediction in surface water bodies is crucial because they reflect ecosystem health and have role in aquatic food webs and nutrient cycling. This study examined the applicability of machine learning algorithms to estimate zoopla...
Bangladesh Machine Learning Zooplankton Animals Ecosystem Ponds Environmental Monitoring Water Quality
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An investigation of multimodal EMG-EEG fusion strategies for upper-limb gesture classification.

Journal of neural engineering Jul 10, 2025
. Upper-limb gesture identification is an important problem in the advancement of robotic prostheses. Prevailing research into classifying electromyographic (EMG) muscular data or electroencephalographic (EEG) brain data for this purpose is often lim...
Adult Upper Extremity Algorithms Male Electroencephalography Female Humans Gestures Electromyography Young Adult Machine Learning Brain-Computer Interfaces
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