Search Results - "Predictive algorithms"

Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques by Champa-Bujaico, Elizabeth, Díez-Pascual, Ana M., Lomas Redondo, Alba, Garcia-Diaz, Pilar

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Predictive Policing: Review of Benefits and Drawbacks by Meijer, Albert, Wessels, Martijn

“…This literature review illuminates the conceptualization of predictive policing, and also its potential and realized benefits and drawbacks. The review shows a…”
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THE JUDICIAL DEMAND FOR EXPLAINABLE ARTIFICIAL INTELLIGENCE by Deeks, Ashley

“…A recurrent concern about machine learning algorithms is that they operate as “black boxes,” making it difficult to identify how and why the algorithms reach…”
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Prediction of pipe failures in water supply networks using logistic regression and support vector classification by Robles-Velasco, Alicia, Cortés, Pablo, Muñuzuri, Jesús, Onieva, Luis

“…•Prediction of >85% of pipe failures using both algorithms, LR and SVC.•Excellent abilities to avoid false classifications (AUCs).•Importance of training set…”
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Automated Quantification of Hydroxyl Reactivities: Prediction of Glycosylation Reactions by Chang, Chun‐Wei, Lin, Mei‐Huei, Chan, Chieh‐Kai, Su, Kuan‐Yu, Wu, Chia‐Hui, Lo, Wei‐Chih, Lam, Sarah, Cheng, Yu‐Ting, Liao, Pin‐Hsuan, Wong, Chi‐Huey, Wang, Cheng‐Chung

“…The stereoselectivity and yield in glycosylation reactions are paramount but unpredictable. We have developed a database of acceptor nucleophilic constants…”
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Virtual metrology in semiconductor manufacturing: Current status and future prospects by Maitra, Varad, Su, Yutai, Shi, Jing

“…Advanced Process Control (APC) has become an increasingly pressing issue for the semiconductor industry, particularly in the new era of sub-5 nm process…”
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Predicting migrant children’s social exclusion risk through an innovative digital tool: Application of machine learning methods to Spanish residential centres by Fernández-Pacheco Alises, Gloria, Avignone, Tatiana, Torres Jiménez, Mercedes

“…In the improvement of social care, the adaptation of services and procedures to the analysis of the best predictors of the risk of social exclusion for…”
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Optimization of network topology robustness in IoTs: A systematic review by Changazi, Sabir Ali, Bakhshi, Asim Dilawar, Yousaf, Muhammad, Mohsin, Syed Muhammad, Akber, Syed Muhammad Abrar, Abazeed, Mohammed, Ali, Mohammed

“…Internet of Things (IoT) has emerged as one of the most promising technologies of the modern era, enabling connectivity between devices and systems for…”
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Influence of baseline characteristics on subjective improvement of dry eye after intense pulsed light therapy by Carrillo-Pulido, Miriam, Ortiz-Peregrina, Sonia, López Pérez, María Dolores, Cano-Ortiz, Antonio, González-Cruces, Timoteo

“…To identify baseline clinical signs and symptoms associated with response to intense pulsed light (IPL) combined with meibomian gland expression in dry eye…”
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Enhancing grid stability with machine learning: A smart predictive approach to residential energy management by Olawumi, Mattew A., Oladapo, B.I.

“…This research focuses on enhancing energy efficiency and grid stability in residential buildings by developing and evaluating advanced demand response (DR)…”
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A novel geometric predictive algorithm for assessing compressive elastic modulus in MEX additive processes, based on part nonlinearities and layers stiffness, validated with PETG and PLA materials by Mercado–Colmenero, Jorge Manuel, Martin–Doñate, Cristina

“…MEX (Material Extrusion) is an intrusive technological process that inherently induces alterations in the elastic and mechanical parameters of plastic…”
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The Moli-sani risk score, a new algorithm for measuring the global impact of modifiable cardiovascular risk factors by Di Castelnuovo, Augusto, Bonaccio, Marialaura, Costanzo, Simona, De Curtis, Amalia, Persichillo, Mariarosaria, Panzera, Teresa, Bracone, Francesca, Baldassarre, Damiano, Roncaglioni, Maria Carla, Baviera, Marta, Cerletti, Chiara, Donati, Maria Benedetta, de Gaetano, Giovanni, Iacoviello, Licia

“…Cardiovascular (CV) disease is preventable through interventions targeting modifiable factors. Most algorithms based on modifiable CV risk factors (CV-rf) have…”
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Angry Citizens and Black Belt Employees: Cascading classifications of and around a predictive algorithm by Justesen, Lise, Plesner, Ursula

“…Over past decades, predictive algorithms have been used extensively as profiling tools in the private sector, but today they are also increasingly entering…”
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An introduction to machine learning and generative artificial intelligence for otolaryngologists—head and neck surgeons: a narrative review by Alter, Isaac L., Chan, Karly, Lechien, Jérome, Rameau, Anaïs

“…Purpose Despite the robust expansion of research surrounding artificial intelligence (AI) and machine learning (ML) and their applications to medicine, these…”
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The Post-Choice Society: Algorithmic Prediction and the Decentring of Choice by Schwarz, Ori

“…Choice has played a key role in late-modern economy, society, culture and politics, but recently predictive algorithms are decentring choice and replacing many…”
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Predictive Algorithms for a Crisis by Sotillo, Claudia L, Franco, Idalid, Arriaga, Alexander F

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La decisione del giudice tra precedente giudiziale e predizione artificiale by Fabrizio Corona

“…The rapid evolution of technologies in the field of justice has led to the creation of artificial prediction tools that can be used to predict the outcome of…”
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Predicting Posttraumatic Stress Disorder Risk: A Machine Learning Approach by Wshah, Safwan, Skalka, Christian, Price, Matthew

“…A majority of adults in the United States are exposed to a potentially traumatic event but only a handful go on to develop impairing mental health conditions…”
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Machine learning algorithms for predicting undernutrition among under-five children in Ethiopia by Bitew, Fikrewold H, Sparks, Corey S, Nyarko, Samuel H

“…Child undernutrition is a global public health problem with serious implications. In this study, we estimate predictive algorithms for the determinants of…”
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Effect of a Predictive Analytics-Targeted Program in Patients on Opioids: a Stepped-Wedge Cluster Randomized Controlled Trial by Strombotne, Kiersten L, Legler, Aaron, Minegishi, Taeko, Trafton, Jodie A, Oliva, Elizabeth M, Lewis, Eleanor T, Sohoni, Pooja, Garrido, Melissa M, Pizer, Steven D, Frakt, Austin B

“…Risk of overdose, suicide, and other adverse outcomes are elevated among sub-populations prescribed opioid analgesics. To address this, the Veterans Health…”
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