Jihad Zahir

Jihad Zahir
Cadi Ayyad University | UCAM

About

28
Publications
4,442
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87
Citations
Introduction

Publications

Publications (28)
Article
Full-text available
The regular and consistent monitoring of marine ecosystems and fish communities is becoming more and more crucial due to increasing human pressures. To this end, underwater camera technology has become a major tool to collect an important amount of marine data. As the size of the data collected outgrew the ability to process it, new means of automa...
Article
Full-text available
FloraNER is a distantly supervised named entity recognition dataset (NER). The dataset is built from botanical French literature extracted from the OCR-preprocessed flora of New Caledonia, provided by the National Museum of Natural History in France (MNHN), and distantly annotated with a botanical French corpus created by merging botanical lexicons...
Preprint
Full-text available
Coral reefs are vital ecosystems that are under increasing threat due to local human impacts and climate change. Efficient and accurate monitoring of coral reefs is crucial for their conservation and management. In this paper, we present an automatic coral detection system utilizing the You Only Look Once (YOLO) deep learning model, which is specif...
Conference Paper
Full-text available
This research investigates the untapped wealth of centuries-old French botanical literature, particularly focused on floras, which are comprehensive guides detailing plant species in specific regions. Despite their significance, this literature remains largely unexplored in the context of AI integration. Our objective is to bridge this gap by const...
Conference Paper
Full-text available
Coral reefs are vital ecosystems that are under increasing threat due to local human impacts and climate change. Efficient and accurate monitoring of coral reefs is crucial for their conservation and management. In this paper, we present an automatic coral detection system utilizing the You Only Look Once (YOLO) deep learning model, which is specif...
Chapter
Full-text available
This paper aims to address the challenge of using artificial intelligence for empirical legal studies. We introduce a new annotated dataset on French marine environmental law dealing with definitions, bans, sanctions, and controls on living (turtles and seabirds) and non-living (plastic bags and straws) subjects. The annotation has been produced by...
Article
Full-text available
The increasing amount of electronic legal documents represents a great opportunity for the development of intelligent computational systems for legal texts processing and classification. Most of these systems use classical machine learning and large datasets in English. This paper proposes an approach to automatically predict legal case outcome fro...
Article
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Search analytics and web data are widely used by media, politicians, economists, and scientists in various decision-making processes, it offers new opportunities to improve economic and demographic insights, and complement traditional data sources. In this paper, we intend to explore the potential of Google trends data as a valuable alternative dat...
Conference Paper
Full-text available
Big data technology is the next frontier for innovation, competition, and productivity. Big data analytics in the manufacturing industry is mainly used to process massive data in various manufacturing activities. Today, many industrial companies are starting discussions on the importance of DSS (Decision Support Systems) and its cloud processing ca...
Article
This research aims to identify the geographic origin of Arabic-speaking social media users by analyzing textual data they produce and share. The paper presents an approach to infer users’ region (i.e country) of origin through identification of the dialect they use in their written interactions. An Integrated Dataset for Arabic Dialect Detection (I...
Article
Full-text available
Arabic language has different variants that can be roughly categorized into three main categories: Classical Arabic (CA), Modern Standard Arabic (MSA) and Dialectal Arabic (DA). There are subtle differences between MSA and CA in terms of syntax, terminology and pronunciation. However, Dialectal Arabic (DA) significantly differs from CA and MSA in t...
Article
Full-text available
Air pollution is worsening almost everywhere in the world. According to the Health Effects Institute (HEI), more than 95% of the world population breathe polluted air, toxic to their cardiovascular and respiratory health, which caused the death of 4.2 million people worldwide in 2016. As a result, the air pollution has become one of the leading cau...
Chapter
In this chapter, we present an approach to automatize the assessment of attitudes toward violence against women and women’s rights, by analyzing Youtube comments, written in Arabic. More specifically, we propose a context-aware approach to opinion analysis in comments by taking into account the polarity of videos to which comments are associated. W...
Chapter
Nowadays individuals are creating a huge amount of data; with a cell phone in every pocket, a laptop in every bag and wearable sensors everywhere, the fruits of the information are easy to see but less noticeable is the information itself. This data could be particularly useful in making people’s lives healthier and easier, by contributing not only...
Chapter
Social media have become a viral source of information. This huge amount of data offers an opportunity to study the feelings and opinions of the crowds toward any subject using Sentiment Analysis, which is a struggling area for Arabic Language. In this research, we present our approach to build a thematic training set by combining manual and automa...
Chapter
The Internet of Things (IoT) is becoming a buzz word due to the extensive application of it. It can be found anywhere nowadays, Healthcare, Smart cities, Smart energy, smart buildings and so on. The internet of thing has been a subject of improvement in terms of the price, size and persistence, but one of the main challenges in understanding IoT is...
Chapter
Agriculture in Morocco, like in many developing countries, remains very sensitive to climatic fluctuations, with drought occurring recurrently; creating volatility in agricultural production and impacting negatively the lives of farmers. How to quantify the impact of climate change on the quality of life of farmers? How can climate-resilience be st...
Chapter
Air quality has been a serious concern amongst policy-makers and the public due to its impacts on humans and environment, it can be one of the reasons for civilization diseases. According to The Health Effects Institute (HEI) [1], over 95% of the world’s population is breathing polluted air, which contributed to the death of 6.1 million people acro...
Chapter
Social Networks became the most important source of information. User-generated content is constantly increasing which provides unprecedented opportunities to support decision-making processes and advocacy efforts. This paper is a short survey on context based sentiment analysis for English content; we present different approaches from the literatu...
Conference Paper
For the last two decades, data driven cities have emerged as an efficient way of improving the city performance, enhancing life quality, and providing more choices to city planners and decision makers. A significant change in data driven cities in recent years is that much more data are collected from a variety of sources and can be processed into...
Article
Full-text available
Generating execution plans is a costly operation for the DataBase Management System (DBMS). An interesting alternative to this operation is to reuse the old execution plans, that were already generated by the optimizer for past queries, to execute new queries. In this paper, we present an approach for execution plan recommendation in two phases. We...
Conference Paper
Recognizing that two SQL queries are similar is useful for many applications, such as query recommendation, plan selection and so on. However,questions such as which techniques are needed and which SQL query representation is best to produce accurate similarity estimation remain poorly addressed. In this work we explore two SQL queries representati...
Conference Paper
This work relates to SQL query plan reuse based optimization in Database Management Systems (DBMS). We use a collaborative recommendation approach that helps the DBMS optimizer to detect similarity between old queries (already executed by the optimizer) and new upcoming queries (that are yet to execute). This kind of methods, allows the optimizer t...

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