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Enhancing portfolio management using artificial intelligence: literature review
No full textTIDJANI, Chemseddine/0000-0002-1058-9520; Lorenzo, Luis/0000-0001-9059-0021Building an investment portfolio is a problem that numerous researchers have addressed for many years. The key goal has always been to balance risk and reward by optimally allocating assets such as stocks, bonds, and cash. In general, the portfolio management process is based on three steps: planning, execution, and feedback, each of which has its objectives and methods to be employed. Starting from Markowitz's mean-variance portfolio theory, different frameworks have been widely accepted, which considerably renewed how asset allocation is being solved. Recent advances in artificial intelligence provide methodological and technological capabilities to solve highly complex problems, and investment portfolio is no exception. For this reason, the paper reviews the current state-of-the-art approaches by answering the core question of how artificial intelligence is transforming portfolio management steps. Moreover, as the use of artificial intelligence in finance is challenged by transparency, fairness and explainability requirements, the case study of post-hoc explanations for asset allocation is demonstrated. Finally, we discuss recent regulatory developments in the European investment business and highlight specific aspects of this business where explainable artificial intelligence could advance transparency of the investment process.COST Action [19130-Fintech]; COST (European Cooperation in Science and Technology); Zurich University of Applied Sciences (ZHAW)This publication is based upon work from COST Action 19130-Fintech and Artificial Intelligence in Finance-Toward a transparent financial industry, supported by COST (European Cooperation in Science and Technology), www.cost.eu. Open access funding by Zurich University of Applied Sciences (ZHAW)
Selection of the best Big Data platform using COBRAC-ARTASI methodology with adaptive standardized intervals
No full textSimic, Vladimir/0000-0001-5709-3744; küçükönder, hande/0000-0002-0853-8185The advanced technologies emerging in Industry 4.0 are forcing companies in different industries to review their business models and become more compatible with advanced technological practices. While traditional business models are increasingly inadequate in the face of increasing competition, business models developed thanks to advanced technologies such as deep learning and machine learning have begun to replace them. However, developing business intelligence and intelligent applications using these technologies requires more data processing. In this context, Big Data technology is a unique instrument in providing the data businesses need to design more intelligent systems. In conclusion, the Big Data platform can significantly speed up the processes of structuring and processing the data and information generated and increase businesses' efficiency, performance, and agility. However, being a relatively new concept, the knowledge about the Big Data concept is limited, leading to several challenges for decision-makers concerning choosing the appropriate platform. Also, the number of studies on this subject is highly scarce. Hence, practitioners in various industries lack sufficient support from the research society on this issue. We could not find crisp and definite values to evaluate the BD alternatives despite comprehensive investigation. In that regard, as data, we addressed appraisals and opinions of IT professionals with vast knowledge and experience in assessment, selection, installation, and operation. We developed a novel decision-making model to evaluate and select the most proper BD platforms by processing these data. In this connection, the current investigation suggests a novel, robust, practical decision-making model for defining the combination of the weight of criteria based on pairwise comparisons of adjacently ranked criteria (COmparisons Between RAnked Criteria- COBRAC) and the ARTASI (Alternative ranking technique based on adaptive standardized intervals -ARTASI). It can handle complex ambiguities encountered in appraisal processes to address the Big Data platform selection problem. In addition, the current work developed a negotiation process quantitificated to determine the influential criteria affecting the selection of the Big Data platform. When we evaluate the outcomes of the suggested model, the most influential criterion affecting the selection of the Big Data platform is C12 "Ease of Use." in addition, the most suitable Big Data platform for large-scale enterprises has been identified as A3 Microsoft SQL Server. The proposed model and its results have been validated based on extensive sensitivity and comparison analysis. These results also offer practical and managerial implications for the industry. Although many studies indicate that installation cost and speed are the most critical factors, this research found that, unlike these studies, ease of use is the most critical factor in choosing a BD platform. In this context, the BD alternative that provides the highest ease of use can produce more efficient results and reduce complexities in collecting and processing high volumes of structured and unstructured data
Applications of Deep Learning in Alzheimer's Disease: a Systematic Literature Review of Current Trends, Methodologies, Challenges, Innovations, and Future Directions
No full textAlzheimer's Disease (AD) constitutes a significant global health issue. In the next 40 years, it is expected to affect 106 million people. Although more and more people are getting AD, there are still no effective drugs to treat it. Insightful information about how important it is to find and treat AD quickly. Recently, Deep Learning (DL) techniques have been used more and more to diagnose AD. They claim better accuracy in drug reuse, medication recognition, and labeling. This essay meticulously examines the works that have talked about using DL with Alzheimer's disease. Some of the methods are Natural Language Processing (NLP), drug reuse, classification, and identification. Concerning these methods, we examine their pros and cons, paying special attention to how easily they can be explained, how safe they are, and how they can be used in medical situations. One important finding is that Convolutional Neural Networks (CNNs) are most often used for AD research and Python is most often used for DL issues. Some security problems, like data protection and model stability, are not looked at enough in the present research, according to us. This study thoroughly examines present methods and also points out areas that need more work, like better data integration and AI systems that can be explained. The findings should help guide more research and speed up the creation of DL-based AD identification tools in the future.Science Citation Index Expande
PROTECTING SOCIOECONOMIC INTERESTS OF THE WEAKER PARTY IN THE FREE MARKET: THE EXPLOITATION OF RELIGIOUS BELIEFS IN THE TURKISH CONTRACT LAW
No full textDespite being the ultimate rule in the free market, the freedom of contract is fading away against the aim to protect the weaker party in contract law. The weaker party’s socioeconomic interest can be breached in a specific way that would be summarized as the exploitation of religious beliefs. This type of exploitation is usually seen across Turkish society, but there is almost no jurisprudence concerning this subject. The paper evaluates potential legal solutions from the Turkish Code of Obligations (TCO). Theoretical views are compared to achieve an adequate way of compensation against the stronger party for the weaker party whose pecuniary damages occurred because of the contract that the latter signed with religious thoughts and inexplicable generosity for the former. Common law’s undue influence and civil law’s sandpile theory can suggest founded solutions against religious exploitation in the contract. Still, TCO art. 27 can give a suitable cause for the illegality: the contrariety to economic public order. This notion can prevent copied future contracts against the same group of weaker parties when the pioneer illegal contract is invalidated, and the exploiter must compensate the pecuniary damages of the counterparty. © 2024, University of Zagreb Faculty of Economics and Business. All rights reserved
Predictive Maintenance Analysis for Industries
No full textIEEE Communications SocietyIn this paper, we are focused on deriving conclusions from sensor parameter data that would enable the detection of potential faults and the prediction of failures. We used Random Forest, Decision Tree, Naive Bayes, Logistic Regression, Support Vector Machine, and Long Short-Term Memory models to predict faults for sensor data. This analysis, which predicts the failure, has been examined through the pump sensor dataset from Kaggle. It is a binary classification problem, and it performs time series analysis using historical pump sensor data to predict future observations and classify them into a positive label (normal) or a negative label (broken). The pump system must be in perfect condition to ensure continuous power supply. A failure of one of the pumps in the system can lead to a temporary drop in power generation and even a complete outage. This may be avoided if failures are predicted in advance. Therefore, it is important to anticipate failure early to avoid large financial losses. Predictive maintenance is beneficial for industries to prevent these faults and losses. Despite expectations, the Random Forest algorithm outperforms LSTM, followed by Decision Trees. Support Vector Machine and Naive Bayes algorithms show inferior performance compared to Random Forest and LSTM. © 2024 IEEE
Ruins That Invite Touch: Reclaiming Home From the Image of Ruin in Liwaa Yazji's Haunted(2014) and Kamal Aljafari's the Roof(2006)
No full textBu tez, ev kalıntılarının görsel temsilinin sınırlarını ve olanaklarını araştırıyor. Tartışmamı, ev harabelerinin, harabelerin temsili konusundaki sorunları nasıl karmaşıklaştırabileceğinden yola çıkarak yapıyorum. Son zamanlarda harabelere olan akademik ilginin oldukça yoğunlaşmasıyla beraber, yerinden edilmeye neden olan ev harabeleri hâlâ yeterince tartışılmıyor. Bu tezde, bu kalıntıların, sürgündeki ve yerinden edilmiş sanatçıların çok sayıda film ve videolarında, harabeleri temsil etmenin sınırlarına dair sorularla ortaya çıktığını savunuluyor. Bunu bir dizi filmin temsil tercihlerini analiz ederek savunuyorum. Öncelikle savaş sonrası Lübnan'a dair deneysel film ve videolarda ortaklaşan temsil krizinin haraberle ilişkisini inceliyorum. Bu sanat eserlerinde ortak olarak savaş sonrası kalıntıların varlığı, kolektif ve kişisel hafızayla ilişkileri nedeniyle temsilin sınırlarını karmaşıklaştırıyor. Ardından Kamal Aljafari'nin The Roof (2006) ve Liwaa Yazji'nin Haunted (2014) adlı iki filmi üzerinden alternatif temsil biçimlerini ve bu biçimlerin ortaya çıkardıkları olanaklara odaklanıyorum. Bu filmleri biçimsel olarak analiz ederek, bu terk edilmiş mekânların eve dair hafızayı geri kazanmaya çalışan alternatif temsillerin olanıklılğı olarak ele alıyorum. Bu filmlerde bedensel film dili ve duyusal hafızaya hitap eden bakış açısısı kullanımlarıyla terk edilmiş harabelerin ısrarla bir 'ev' iziyle temsil edildiğini savunuyorum.This thesis explores the limits and possibilities of visual representation of the home ruins. I draw my discussion from how home ruins can complicate the issues of representing ruins. As academic interest in ruins has been greatly intensified lately, the home ruins that result in displacement are still overlooked. In this thesis, I argue that these ruins emerge in a number of exilic and displaced artists' films and videos with a question of limits of representing them. I argue this by analyzing the representation choices of a number of films. First, I present experimental films and videos of post-war Lebanon. Common to these artworks, the existence of post-war ruins complicates the limits of representation by their relation to collective and personal memory. Then, I present two films, The Roof (2006) by Kamal Aljafari and Haunted (2014) by Liwaa Yazji. By presenting a formal analysis of these films, I investigate alternative representations that try to reclaim these abandoned sites' memory of home. I argue that in these films by embodied filmmaking style, and haptic looking that appeals to sensory memory, the abandoned ruins are insistently represented with a trace of home
List Coloring Based Algorithm for the Futoshiki Puzzle
No full textGiven a graph G=(V, E) and a list of available colors L(v) for each vertex v\\in V, where L(v) \\subseteq {1, 2, ..., k}, List k-Coloring refers to the problem of assigning colors to the vertices of so that each vertex receives a color from its own list and no two neighboring vertices receive the same color. The decision version of the problem, List k-Coloring, is NP-complete even for bipartite graphs. As an application of list coloring problem we are interested in the Futoshiki Problem. Futoshiki is an NP-complete Latin Square Completion Type Puzzle. Considering Futoshiki puzzle as a constraint satisfaction problem, we first give a list coloring based algorithm for it which is efficient for small boards of fixed size. To thoroughly investigate the efficiency of our algorithm in comparison with a proposed backtracking-based algorithm, we conducted a substantial number of computational experiments at different difficulty levels, considering varying numbers of inequality constraints and given values. Our results from the extensive range of experiments indicate that the list coloring-based algorithm is much more efficient.Emerging Sources Citation Inde
Arrest Precautions and Duration of Arrest
No full textTutuklama tedbirinin temelinde devletlere tanınan egemenlik yetkisi yatmakta olup yargı makamlarınca uygulanabilen bu tedbir, kişi özgürlüğü ve güvenliği hakkına en sert şekilde müdahale eden koruma tedbiridir. Türk Ceza Muhakemesinde tutuklama tedbiri bakımından azami süreler Ceza Muhakemesi Kanunu'nun 102. maddesinde düzenlenmiştir. Söz konusu bu azami süreler ceza muhakemesinin tüm süreci için geçerlidir. Her ne kadar azami süreler bu sürecin tamamı için geçerli olsa da Yargıtay'ın ve Anayasa Mahkemesi'nin azami sürelere ilişkin verdikleri hükümlerde; 'suç isnadına bağlı tutukluluk' ve 'hükme bağlı tutukluluk' kavramları ortaya çıkmıştır. Yargı kararlarına göre ilk derece mahkemesince hükmedilen tutukluluk kararı suç isnadına bağlı tutukluluk olarak ifade edilmektedir. İlk derece mahkemesince verilen karardan kararın kesinleşeceği ana kadar devam eden tutukluluk haline ise hükme bağlı tutukluluk olarak nitelendirilmektedir. Ceza Muhakemesi Kanunu'nun bireylere sağladığı koruma, yargı makamlarının hükümlerine göre daha kapsamlıdır. Gerek Yargıtay'ın gerekse Anayasa Mahkemesi'nin kararlarında bu hususa ilişkin Avrupa İnsan Hakları Mahkemesi'nin içtihatlarına atıf yapılmışsa da 'hükme bağlı tutukluluk' kavramı Avrupa İnsan Hakları Mahkemesi'nin yakın zamanda verdiği kararlar çerçevesinde tekrar değerlendirilmelidir.The arrest measure is based on the sovereign power granted to states and this measure, which can be applied by judicial authorities, is the protection measure that interferes most severely with the right to personal liberty and security. In Turkish Criminal Procedure, the maximum periods for the arrest measure are regulated in Article 102 of the Code of Criminal Procedure. These maximum periods are valid for the whole process of criminal procedure. Although the maximum periods are valid for the entire process, in the judgments of the Court of Cassation and the Constitutional Court regarding the maximum periods; the concepts of 'detention on remand' and 'detention on accusation' have emerged. According to the judicial decisions, the detention ruled by the court of first instance is referred to as detention on a criminal charge. The detention that continues from the decision rendered by the court of first instance until the finalization of the decision is referred to as detention on accusation. The protection afforded to individuals by the Code of Criminal Procedure is more comprehensive than the provisions of the judicial authorities. Although both the decisions of the Court of Cassation and the Constitutional Court have referred to the jurisprudence of the European Court of Human Rights on this issue, the concept of 'detention on accusation' should be re-evaluated within the framework of the recent decisions of the European Court of Human Rights
Physical Layer Security With Dco-Ofdm Vlc Under the Effects of Clipping Noise and Imperfect Csi
No full textPoor, H. Vincent/0000-0002-2062-131XVisible light communications (VLC) and physical-layer security (PLS) are key candidate technologies for 6G wireless communication. This paper combines these two technologies by considering an orthogonal frequency division multiplexing (OFDM) technique called DC-biased optical OFDM (DCO-OFDM) equipped with PLS as applied to indoor VLC systems. First, a novel PLS algorithm is designed to protect the DCO-OFDM transmission of the legitimate user from an eavesdropper. A closed-form expression for the achievable secrecy rate is derived and compared with the conventional DCO-OFDM without security. To analyze the security performance of the PLS algorithm under the effects of the residual clipping noise and the channel estimation errors, a closed-form expression is derived for a Bayesian estimator of the clipping noise induced naturally at the DCO-OFDM systems after estimating the optical channel impulse response (CIR), by a pilot-aided sparse channel estimation algorithm with the compressed sensing approach, in the form of the orthogonal matching pursuit (OMP), and the least-squares (LS). Finally, from the numerical and the computer simulations, it is shown that the proposed PLS algorithm with secret key exchange guarantees the eavesdropper's BER to stay close to 0.5 and that the proposed encryption-based PLS algorithm does not affect the BER performance of the legitimate user in the system.U.S National Science Foundation (NSF) [CNS-2128448, ECCS-233587]; Bilateral Scientific Cooperation Program with the U.S NSF; Scientific and Technical Research Council of Turkiye (TUBITAK), Turkiye; European COST (Cooperation in Science and Technology) projects [CA22168 (6G-PHYSEC), CA19111(NEWFOCUS)]This research has been supported by the U.S National Science Foundation (NSF) under Grants CNS-2128448 and ECCS-2335876, and by Bilateral Scientific Cooperation Program with the U.S NSF and the Scientific and Technical Research Council of Turkiye (TUBITAK), Turkiye. It is based upon works from COST Actions CA22168 (6G-PHYSEC) and CA19111(NEWFOCUS) supported by the European COST (Cooperation in Science and Technology) projects. The associate editor coordinating the review of this article and approving it for publication was A. El Shafie.Science Citation Index Expande
The Unlimited Joy, 'once You Start You Can't Stop': Masculinity in Domestic Technology Commercials in Turkey
No full textBEKTAS ATA, LEYLA/0000-0002-7929-2469Recently, studies have begun examining men's interaction with domestic space to explore changing forms of masculinity and domesticity, arguing that housework has become a leisure activity for men, with domestic technologies serving as tools (toys) for them to engage with. In this article, we explore how men in Turkish television commercials of domestic technologies are portrayed and how these portrayals construct and reconstruct discourses of domesticity and masculinity. We aim to understand men's relationship with masculinity, home and domestic work in these commercials. Alongside leisure and fun, we explore the construction of discourses of masculinity and domesticity through specific themes such as the naughty scientist, the self-seeking purchaser, and the flirtatious chef. We argue that seeing more men on screen does not democratise domesticity since the equal share of workload at home is still far from being realised even in these portrayals. We also argue that domesticity is aestheticized with the participation of men and technology. Finally, women are used as instruments by men in reconstructing their masculinity through heterosexuality.Scientific and Technological Research Council of Turkiye (TUBITAK) [120K822]This study was supported by the Scientific and Technological Research Council of Turkiye (TUBITAK) under the Grant Number 120K822.Arts &- Humanities Citation Inde